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A Phenology-Based Classification of Time-Series MODIS Data for Rice Crop Monitoring in Mekong Delta, Vietnam

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-85193-3_29openalex-snapshot
Modeling the Impact of Climate Change on Rice Production in Asia
inferredcites →https://doi.org/10.1007/978-4-431-99798-6openalex-snapshot
Adaptation and Mitigation Strategies for Climate Change
inferredcites →https://doi.org/10.1007/s11625-008-0062-0openalex-snapshot
Impact of global warming on agricultural product markets: stochastic world food model analysis
inferredcites →https://doi.org/10.1016/j.agee.2011.10.016openalex-snapshot
Estimation of Southeast Asian rice paddy areas with different ecosystems from moderate-resolution satellite imagery
inferredcites →https://doi.org/10.1016/j.gloplacha.2005.07.004openalex-snapshot
Effective sea-level rise and deltas: Causes of change and human dimension implications
inferredcites →https://doi.org/10.1016/j.isprsjprs.2013.09.008openalex-snapshot
Satellite-based investigation of flood-affected rice cultivation areas in Chao Phraya River Delta, Thailand
inferredcites →https://doi.org/10.1016/j.jag.2007.11.002openalex-snapshot
Crop discrimination in Northern China with double cropping systems using Fourier analysis of time-series MODIS data
inferredcites →https://doi.org/10.1016/j.rse.2004.10.006openalex-snapshot
On the relationship of NDVI with leaf area index in a deciduous forest site
inferredcites →https://doi.org/10.1016/j.rse.2004.12.009openalex-snapshot
Mapping paddy rice agriculture in southern China using multi-temporal MODIS images
inferredcites →https://doi.org/10.1016/j.rse.2004.12.018openalex-snapshot
Ganges and Indus river basin land use/land cover (LULC) and irrigated area mapping using continuous streams of MODIS data
inferredcites →https://doi.org/10.1016/j.rse.2005.10.004openalex-snapshot
Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images
inferredcites →https://doi.org/10.1016/j.rse.2006.11.021openalex-snapshot
Analysis of time-series MODIS 250 m vegetation index data for crop classification in the U.S. Central Great Plains
inferredcites →https://doi.org/10.1016/j.rse.2007.05.017openalex-snapshot
Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil
inferredcites →https://doi.org/10.1016/j.rse.2011.08.010openalex-snapshot
Comparison of different vegetation indices for the remote assessment of green leaf area index of crops
inferredcites →https://doi.org/10.1016/j.rse.2012.04.001openalex-snapshot
Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology
inferredcites →https://doi.org/10.1016/s0034-4257(02)00135-9openalex-snapshot
Monitoring vegetation phenology using MODIS
inferredcites →https://doi.org/10.1016/s0308-521x(95)00060-iopenalex-snapshot
Simulating the impact of climate change on rice production in Asia and evaluating options for adaptation
inferredcites →https://doi.org/10.1016/s1161-0301(03)00005-4openalex-snapshot
Modelling the impacts of climate change and methane emission reductions on rice production: a review
inferredcites →https://doi.org/10.1023/a:1016188522934openalex-snapshot
Impact of Climate Change on Agricultural Production in the Sahel – Part 2. Case Study for Groundnut and Cowpea in Niger
inferredcites →https://doi.org/10.1023/b:clim.0000004551.55871.ebopenalex-snapshot
Vulnerability Assessment of the Maize and Sorghum Crops to Climate Change in Botswana
inferredcites →https://doi.org/10.1073/pnas.0403720101openalex-snapshot
Rice yields decline with higher night temperature from global warming
inferredcites →https://doi.org/10.1079/9780851995496.0000openalex-snapshot
Crop variety improvement and its effect on productivity: the impact of international agricultural research
inferredcites →https://doi.org/10.1080/01431160601086043openalex-snapshot
Fourier analysis of historical NOAA time series data to estimate bimodal agriculture
inferredcites →https://doi.org/10.1080/01431160802632249openalex-snapshot
Multi-year monitoring of rice crop phenology through time series analysis of MODIS images
inferredcites →https://doi.org/10.1080/01431161.2010.494639openalex-snapshot
Classification of rice cropping systems by empirical mode decomposition and linear mixture model for time-series MODIS 250 m NDVI data in the Mekong Delta, Vietnam
inferredcites →https://doi.org/10.1098/rspa.1998.0193openalex-snapshot
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
inferredcites →https://doi.org/10.1109/lgrs.2006.888844openalex-snapshot
Seasonal Variation of MODIS Vegetation Indexes and Their Statistical Relationship With Climate Over the Subtropic Evergreen Forest in Zhejiang, China
inferredcites →https://doi.org/10.1109/tgrs.1990.572944openalex-snapshot
Neural Network Approaches Versus Statistical Methods In Classification Of Multisource Remote Sensing Data
inferredcites →https://doi.org/10.1117/1.3595272openalex-snapshot
Wavelet filtering of time-series moderate resolution imaging spectroradiometer data for rice crop mapping using support vector machines and maximum likelihood classifier
inferredcites →https://doi.org/10.1117/1.3595276openalex-snapshot
Mapping double-cropped irrigated rice fields in Taiwan using time-series Satellite Pour I'Observation de la Terre data
inferredcites →https://doi.org/10.1117/1.3619838openalex-snapshot
Mapping rice areas of South Asia using MODIS multitemporal data
inferredcites →https://doi.org/10.1117/1.jrs.6.063528openalex-snapshot
Forest leaf area index in an Alpine valley from medium resolution satellite imagery and in situ data
inferredcites →https://doi.org/10.1126/science.1185383openalex-snapshot
Food Security: The Challenge of Feeding 9 Billion People
inferredcites →https://doi.org/10.1142/9789812703347openalex-snapshot
Hilbert-Huang Transform and its Applications
inferredcites →https://doi.org/10.1145/130385.130401openalex-snapshot
A training algorithm for optimal margin classifiers
inferredcites →https://doi.org/10.2134/agronj2004.1139openalex-snapshot
Monitoring Maize ( Zea mays L.) Phenology with Remote Sensing
inferredcites →https://doi.org/10.2747/1548-1603.49.1.117openalex-snapshot
Investigating Rice Cropping Practices and Growing Areas from MODIS Data Using Empirical Mode Decomposition and Support Vector Machines
inferredcites →https://doi.org/10.3390/rs2071844openalex-snapshot
Estimating Global Cropland Extent with Multi-year MODIS Data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.5281/zenodo.34145openalex-extracted
A New Heuristic Decision Tree And Time- Invariant Detection Of Paddy Growth Stages From Modis Data
inferred← citeshttps://doi.org/10.1002/hyp.10894openalex-snapshot
Hydrological alterations from water infrastructure development in the Mekong floodplains
inferred← citeshttps://doi.org/10.1002/hyp.14988openalex-snapshot
Improved understanding of vegetation dynamics and wetland ecohydrology via monthly UAV ‐based classification
inferred← citeshttps://doi.org/10.1002/rse2.320openalex-snapshot
Time‐series remote sensing of rice paddy expansion in the Yellow River Delta: Towards sustainable ecological conservation in the context of water scarcity
inferred← citeshttps://doi.org/10.1002/rse2.364openalex-snapshot
Automatically drawing vegetation classification maps using digital time‐lapse cameras in alpine ecosystems
inferred← citeshttps://doi.org/10.1002/wat2.1670openalex-snapshot
Progress toward resilient and sustainable water management in the Vietnamese Mekong Delta
inferred← citeshttps://doi.org/10.1007/978-3-030-98981-1_15openalex-snapshot
Yield Estimation of Rice Crop Using Semi-Physical Approach and Remotely Sensed Data
inferred← citeshttps://doi.org/10.1007/978-3-658-35685-9_14openalex-snapshot
Konzept und Prototyp für ein räumliches Entscheidungsunterstützungssystem
inferred← citeshttps://doi.org/10.1007/s12665-024-11682-3openalex-snapshot
Modeling and assessing spatial and temporal changes in recent agricultural land-use in Ben Tre province, Vietnam
inferred← citeshttps://doi.org/10.1007/s13593-020-0610-2openalex-snapshot
Estimating adoption and impacts of agricultural management practices in developing countries using satellite data. A scoping review
inferred← citeshttps://doi.org/10.1007/s40010-017-0447-5openalex-snapshot
Estimating Agricultural Crop Types and Fallow Lands Using Multi Temporal Sentinel-2A Imageries
inferred← citeshttps://doi.org/10.1007/s41064-018-0050-7openalex-snapshot
A Progressive Crop-Type Classification Using Multitemporal Remote Sensing Data and Phenological Information
inferred← citeshttps://doi.org/10.1007/s41976-018-0002-4openalex-snapshot
Crop Cycles and Crop Land Classification in Nepal Using MODIS NDVI
inferred← citeshttps://doi.org/10.1016/b978-0-443-15748-6.00109-xopenalex-snapshot
Land surface types
inferred← citeshttps://doi.org/10.1016/j.agrformet.2014.06.007openalex-snapshot
A comparative analysis of multitemporal MODIS EVI and NDVI data for large-scale rice yield estimation
inferred← citeshttps://doi.org/10.1016/j.agrformet.2023.109729openalex-snapshot
Improved prediction of rice yield at field and county levels by synergistic use of SAR, optical and meteorological data
inferred← citeshttps://doi.org/10.1016/j.agwat.2018.08.041openalex-snapshot
Assessment of the relationship between adoption of a knowledge-intensive water-saving technique and irrigation conditions in the Mekong Delta of Vietnam
inferred← citeshttps://doi.org/10.1016/j.agwat.2021.107409openalex-snapshot
Monitoring irrigation dynamics in paddy fields using spatiotemporal fusion of Sentinel-2 and MODIS
inferred← citeshttps://doi.org/10.1016/j.agwat.2024.109083openalex-snapshot
Mapping irrigation regimes in Chinese paddy lands through multi-source data assimilation
inferred← citeshttps://doi.org/10.1016/j.asr.2018.09.018openalex-snapshot
Object-based rice mapping using time-series and phenological data
inferred← citeshttps://doi.org/10.1016/j.asr.2020.01.028openalex-snapshot
Classification of multitemporal Sentinel-2 data for field-level monitoring of rice cropping practices in Taiwan
inferred← citeshttps://doi.org/10.1016/j.asr.2021.06.053openalex-snapshot
Mapping and forecasting of rice cropping systems in central China using multiple data sources and phenology-based time-series similarity measurement
inferred← citeshttps://doi.org/10.1016/j.atech.2024.100660openalex-snapshot
MSCPUnet: A multi-task neural network for plot-level crop classification in complex agricultural areas
inferred← citeshttps://doi.org/10.1016/j.compag.2023.108262openalex-snapshot
FARM: A fully automated rice mapping framework combining Sentinel-1 SAR and Sentinel-2 multi-temporal imagery
inferred← citeshttps://doi.org/10.1016/j.ejrs.2014.09.002openalex-snapshot
Extracting seasonal cropping patterns using multi-temporal vegetation indices from IRS LISS-III data in Muzaffarpur District of Bihar, India
inferred← citeshttps://doi.org/10.1016/j.envsoft.2021.105177openalex-snapshot
A novel concurrent approach for multiclass scenario discovery using Multivariate Regression Trees: Exploring spatial inequality patterns in the Vietnam Mekong Delta under uncertainty
inferred← citeshttps://doi.org/10.1016/j.fcr.2016.08.027openalex-snapshot
Detection of rice phenology through time series analysis of ground-based spectral index data
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2014.12.006openalex-snapshot
Assessment of MODIS spectral indices for determining rice paddy agricultural practices and hydroperiod
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2015.04.008openalex-snapshot
Mapping paddy rice planting area in cold temperate climate region through analysis of time series Landsat 8 (OLI), Landsat 7 (ETM+) and MODIS imagery
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2015.05.011openalex-snapshot
Mapping paddy rice planting areas through time series analysis of MODIS land surface temperature and vegetation index data
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2016.05.010openalex-snapshot
Evolution of regional to global paddy rice mapping methods: A review
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2016.05.014openalex-snapshot
Automated mapping of soybean and corn using phenology
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2020.10.005openalex-snapshot
Characterizing spatiotemporal patterns of crop phenology across North America during 2000–2016 using satellite imagery and agricultural survey data
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2026.08.024openalex-snapshot
Combining knowledge-based training data generation and deep learning algorithms for mapping surface water bodies, wetlands, and paddy rice in Northeast Asia
inferred← citeshttps://doi.org/10.1016/j.jag.2017.01.001openalex-snapshot
Estimating inter-annual variability in winter wheat sowing dates from satellite time series in Camargue, France
inferred← citeshttps://doi.org/10.1016/j.jag.2018.07.022openalex-snapshot
Estimating rice production in the Mekong Delta, Vietnam, utilizing time series of Sentinel-1 SAR data
inferred← citeshttps://doi.org/10.1016/j.jag.2026.105186openalex-snapshot
Time continuous model sequence reconstruction for rice mapping under growth-constrained knowledge priors
inferred← citeshttps://doi.org/10.1016/j.jenvman.2023.119618openalex-snapshot
Mapping wetlands in Northeast China by using knowledge-based algorithms and microwave (PALSAR-2, Sentinel-1), optical (Sentinel-2, Landsat), and thermal (MODIS) images
inferred← citeshttps://doi.org/10.1016/j.proeng.2017.09.596openalex-snapshot
Curve fitting of MODIS NDVI time series in the task of early crops identification by satellite images
inferred← citeshttps://doi.org/10.1016/j.rsase.2019.100272openalex-snapshot
Land cover mapping of the Mekong Delta to support natural resource management with multi-temporal Sentinel-1A synthetic aperture radar imagery
inferred← citeshttps://doi.org/10.1016/j.rsase.2019.100281openalex-snapshot
Assessment of pre-treatment and classification methods for Java paddy field cropping pattern detection on MODIS images
inferred← citeshttps://doi.org/10.1016/j.rsase.2025.101527openalex-snapshot
Advancements in crop mapping through remote sensing: A comprehensive review of concept, data sources, and procedures over four decades
inferred← citeshttps://doi.org/10.1016/j.rse.2020.112012openalex-snapshot
WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets and classifier for precise crop identification based on deep convolutional neural network with CRF
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112679openalex-snapshot
Deep machine learning with Sentinel satellite data to map paddy rice production stages across West Java, Indonesia
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2018.03.372openalex-snapshot
The relation between land use and subsidence in the Vietnamese Mekong delta
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2021.151918openalex-snapshot
Land use change in the Vietnamese Mekong Delta: New evidence from remote sensing
inferred← citeshttps://doi.org/10.1017/s0021859617000879openalex-snapshot
Classification of multi-temporal spectral indices for crop type mapping: a case study in Coalville, UK
inferred← citeshttps://doi.org/10.1029/2020ef001939openalex-snapshot
Accounting for Multisectoral Dynamics in Supporting Equitable Adaptation Planning: A Case Study on the Rice Agriculture in the Vietnam Mekong Delta
inferred← citeshttps://doi.org/10.1038/s41467-019-14155-5openalex-snapshot
Fingerprint of rice paddies in spatial–temporal dynamics of atmospheric methane concentration in monsoon Asia
inferred← citeshttps://doi.org/10.1038/s41597-023-02193-0openalex-snapshot
A synthesis of hydroclimatic, ecological, and socioeconomic data for transdisciplinary research in the Mekong
inferred← citeshttps://doi.org/10.1038/s41597-025-05715-0openalex-snapshot
A 30-m annual paddy rice dataset in Northeastern China during period 2000–2023
inferred← citeshttps://doi.org/10.1038/srep10088openalex-snapshot
Mapping paddy rice planting area in wheat-rice double-cropped areas through integration of Landsat-8 OLI, MODIS and PALSAR images
inferred← citeshttps://doi.org/10.1080/00380768.2021.1929463openalex-snapshot
Alternate wetting and drying enhanced the yield of a triple-cropping rice paddy of the Mekong Delta
inferred← citeshttps://doi.org/10.1080/01431161.2018.1488291openalex-snapshot
Regional-scale rice-yield estimation using stacked auto-encoder with climatic and MODIS data: a case study of South Korea
inferred← citeshttps://doi.org/10.1080/01431161.2018.1513667openalex-snapshot
Salinity stress detection in rice crops using time series MODIS VI data
inferred← citeshttps://doi.org/10.1080/01431161.2019.1601285openalex-snapshot
A random forest-based framework for crop mapping using temporal, spectral, textural and polarimetric observations
inferred← citeshttps://doi.org/10.1080/01431161.2020.1862440openalex-snapshot
A phenological object-based approach for rice crop classification using time-series Sentinel-1 Synthetic Aperture Radar (SAR) data in Taiwan
inferred← citeshttps://doi.org/10.1080/10106049.2017.1289555openalex-snapshot
Assessment of Sentinel-1A data for rice crop classification using random forests and support vector machines
inferred← citeshttps://doi.org/10.1080/10106049.2018.1474275openalex-snapshot
Combining spatiotemporal fusion and object-based image analysis for improving wetland mapping in complex and heterogeneous urban landscapes
inferred← citeshttps://doi.org/10.1080/14498596.2023.2174196openalex-snapshot
Paddy rice mapping in Red River Delta, Vietnam, using Sentinel 1/2 data and machine learning algorithms
inferred← citeshttps://doi.org/10.1080/15481603.2016.1273438openalex-snapshot
Efficient paddy field mapping using Landsat-8 imagery and object-based image analysis based on advanced fractel net evolution approach
inferred← citeshttps://doi.org/10.1080/15481603.2019.1658960openalex-snapshot
Mapping Rice Paddies in Complex Landscapes with Convolutional Neural Networks and Phenological Metrics
inferred← citeshttps://doi.org/10.1080/15481603.2020.1773012openalex-snapshot
Optimal MODIS data processing for accurate multi-year paddy rice area mapping in China
inferred← citeshttps://doi.org/10.1080/2150704x.2016.1225172openalex-snapshot
Mapping rice extent and cropping scheme in the Mekong Delta using Sentinel-1A data
inferred← citeshttps://doi.org/10.1080/22797254.2025.2484711openalex-snapshot
Unsupervised mapping of rice paddy fields and their inundation patterns using Sentinel-1 SAR images and GIS
inferred← citeshttps://doi.org/10.1088/1748-9326/ab80f0openalex-snapshot
Identifying the spatiotemporal changes of annual harvesting areas for three staple crops in China by integrating multi-data sources
inferred← citeshttps://doi.org/10.1088/1748-9326/adf459openalex-snapshot
Risk of rice production failure in India under climate change
inferred← citeshttps://doi.org/10.1088/1755-1315/57/1/012003openalex-snapshot
A phenology-based classification for crop in Great Mekong Subregion based on MODIS data
inferred← citeshttps://doi.org/10.1109/agro-geoinformatics.2019.8820547openalex-snapshot
Dynamic monitoring of multiple cropping index of paddy field based on MODIS-EVI data in Guangdong province
inferred← citeshttps://doi.org/10.1109/icares.2015.7429821openalex-snapshot
Remote sensing big data utilization for paddy growth stages detection
inferred← citeshttps://doi.org/10.1109/jstars.2015.2508639openalex-snapshot
Classification of Vegetation Type in Iraq Using Satellite-Based Phenological Parameters
inferred← citeshttps://doi.org/10.1109/jstars.2020.2994335openalex-snapshot
Classification of Paddy Rice Using a Stacked Generalization Approach and the Spectral Mixture Method Based on MODIS Time Series
inferred← citeshttps://doi.org/10.1109/kse.2017.8119460openalex-snapshot
Paddy rice mapping in red river delta region using landsat 8 images: Preliminary results
inferred← citeshttps://doi.org/10.1109/m2garss57310.2024.10537579openalex-snapshot
Study of the Dynamics of Vegetation Through the Use of Vegetation Indices in the Region of Djelfa, Algeria
inferred← citeshttps://doi.org/10.1111/1365-2664.70135openalex-snapshot
An open source, remote sensing‐based methodology for wetland habitat condition assessments to aid conservation decision‐making
inferred← citeshttps://doi.org/10.1111/jac.12649openalex-snapshot
Genotypic responses of rice to alternate wetting and drying irrigation in the Mekong Delta
inferred← citeshttps://doi.org/10.1117/1.jrs.12.016028openalex-snapshot
Semisupervised GDTW kernel-based fuzzy c-means algorithm for mapping vegetation dynamics in mining region using normalized difference vegetation index time series
inferred← citeshttps://doi.org/10.1117/1.jrs.14.014518openalex-snapshot
Monitoring rice growth status in the Mekong Delta, Vietnam using multitemporal Sentinel-1 data
inferred← citeshttps://doi.org/10.1134/s0001433825700185openalex-snapshot
Geoinformation Monitoring of the Condition of Rice Fields in An Giang Province (Vietnam) according to Multispectral ERS Data and Field Spectroradiometering
inferred← citeshttps://doi.org/10.1145/3380688.3380699openalex-snapshot
Discovered changes in rice occupation with satellite images based on random forest approach
inferred← citeshttps://doi.org/10.11648/j.rd.20230403.15openalex-snapshot
Extracting Land-Cover Information from Landsat Satellite Images by the Decision-Tree Model to Generate a Land-Use Map in Ba Tri District, Ben Tre Province
inferred← citeshttps://doi.org/10.18520/cs/v123/i8/975-986openalex-snapshot
Space technology support for development of agriculture in the North Eastern Region of India – scope and challenges
inferred← citeshttps://doi.org/10.20868/upm.thesis.48173openalex-snapshot
Monitoring of water dynamics in rice ecosystems based on remote sensing time series
inferred← citeshttps://doi.org/10.25077/aijaset.v2i1.28openalex-snapshot
Spatial Distribution of Rice Planting Calendar in West Sumatra Province Based on MODIS Image Data
inferred← citeshttps://doi.org/10.26760/rg.v2017i2.1768openalex-snapshot
Pemetaan Pola Tanam dan Kalender Tanam Padi Sawah menggunakan Teknik Penginderaan Jauh
inferred← citeshttps://doi.org/10.31857/s0205961424040043openalex-snapshot
Geoinformation monitoring of the condition of rice fields in Giang Province (Vietnam) according to multispectral ERS data and field spectroradiometering
inferred← citeshttps://doi.org/10.32698/gcs-sniibipd3430openalex-snapshot
Phenology of rice-fields and dryland using enhanced vegetation index (EVI) analysis the evaluation of planting season
inferred← citeshttps://doi.org/10.3389/fenvs.2022.1089007openalex-snapshot
A new method for classifying maize by combining the phenological information of multiple satellite-based spectral bands
inferred← citeshttps://doi.org/10.3389/frsen.2024.1042624openalex-snapshot
Perspectives on modifiable spatiotemporal unit problems in remote sensing of agriculture: evaluating rice production in Vietnam and tools for analysis
inferred← citeshttps://doi.org/10.3390/agronomy11040621openalex-snapshot
Sentinel-2 Images and Machine Learning as Tool for Monitoring of the Common Agricultural Policy: Calasparra Rice as a Case Study
inferred← citeshttps://doi.org/10.3390/agronomy12071583openalex-snapshot
Dynamic Mapping of Paddy Rice Using Multi-Temporal Landsat Data Based on a Deep Semantic Segmentation Model
inferred← citeshttps://doi.org/10.3390/app9224846openalex-snapshot
Predicting Rice Pest Population Occurrence with Satellite-Derived Crop Phenology, Ground Meteorological Observation, and Machine Learning: A Case Study for the Central Plain of Thailand
inferred← citeshttps://doi.org/10.3390/drones4030041openalex-snapshot
A Review on Drone-Based Data Solutions for Cereal Crops
inferred← citeshttps://doi.org/10.3390/ijgi8110519openalex-snapshot
Impacts of Rapid Socioeconomic Development on Cropping Intensity Dynamics in China during 2001–2016
inferred← citeshttps://doi.org/10.3390/rs10030447openalex-snapshot
Classification and Mapping of Paddy Rice by Combining Landsat and SAR Time Series Data
inferred← citeshttps://doi.org/10.3390/rs10071144openalex-snapshot
Multitemporal Classification of River Floodplain Vegetation Using Time Series of UAV Images
inferred← citeshttps://doi.org/10.3390/rs10091438openalex-snapshot
Estimation of Methane Emissions from Rice Paddies in the Mekong Delta Based on Land Surface Dynamics Characterization with Remote Sensing
inferred← citeshttps://doi.org/10.3390/rs10111745openalex-snapshot
Mapping Crop Calendar Events and Phenology-Related Metrics at the Parcel Level by Object-Based Image Analysis (OBIA) of MODIS-NDVI Time-Series: A Case Study in Central California
inferred← citeshttps://doi.org/10.3390/rs10111840openalex-snapshot
Mapping Paddy Rice Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China
inferred← citeshttps://doi.org/10.3390/rs10121895openalex-snapshot
Automated Open Cotton Boll Detection for Yield Estimation Using Unmanned Aircraft Vehicle (UAV) Data
inferred← citeshttps://doi.org/10.3390/rs10121910openalex-snapshot
Developing Land Use Land Cover Maps for the Lower Mekong Basin to Aid Hydrologic Modeling and Basin Planning
inferred← citeshttps://doi.org/10.3390/rs11030232openalex-snapshot
Mapping Cropping Practices on a National Scale Using Intra-Annual Landsat Time Series Binning
inferred← citeshttps://doi.org/10.3390/rs11070887openalex-snapshot
Mapping Paddy Rice Using Sentinel-1 SAR Time Series in Camargue, France
inferred← citeshttps://doi.org/10.3390/rs11080955openalex-snapshot
Mangrove Phenology and Environmental Drivers Derived from Remote Sensing in Southern Thailand
inferred← citeshttps://doi.org/10.3390/rs11101191openalex-snapshot
An Improved Approach Considering Intraclass Variability for Mapping Winter Wheat Using Multitemporal MODIS EVI Images
inferred← citeshttps://doi.org/10.3390/rs11131514openalex-snapshot
Determination of Vegetation Thresholds for Assessing Land Use and Land Use Changes in Cambodia using the Google Earth Engine Cloud-Computing Platform
inferred← citeshttps://doi.org/10.3390/rs11172034openalex-snapshot
Rapid Assessment of Flood Inundation and Damaged Rice Area in Red River Delta from Sentinel 1A Imagery
inferred← citeshttps://doi.org/10.3390/rs11242951openalex-snapshot
A Review of Earth Observation-Based Analyses for Major River Basins
inferred← citeshttps://doi.org/10.3390/rs12091522openalex-snapshot
Satellite-Based Observations Reveal Effects of Weather Variation on Rice Phenology
inferred← citeshttps://doi.org/10.3390/rs12182957openalex-snapshot
Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning
inferred← citeshttps://doi.org/10.3390/rs12203400openalex-snapshot
Mapping Ratoon Rice Planting Area in Central China Using Sentinel-2 Time Stacks and the Phenology-Based Algorithm
inferred← citeshttps://doi.org/10.3390/rs13010103openalex-snapshot
Rice-Field Mapping with Sentinel-1A SAR Time-Series Data
inferred← citeshttps://doi.org/10.3390/rs13193994openalex-snapshot
Paddy Rice Mapping in Thailand Using Time-Series Sentinel-1 Data and Deep Learning Model
inferred← citeshttps://doi.org/10.3390/rs14030700openalex-snapshot
Effects of Mulching on Maize Yield and Evapotranspiration in the Heihe River Basin, Northwest China
inferred← citeshttps://doi.org/10.3390/rs14092045openalex-snapshot
A Novel Efficient Method for Land Cover Classification in Fragmented Agricultural Landscapes Using Sentinel Satellite Imagery
inferred← citeshttps://doi.org/10.3390/rs14153607openalex-snapshot
A Bibliometric and Visualized Analysis of Research Progress and Trends in Rice Remote Sensing over the Past 42 Years (1980–2021)
inferred← citeshttps://doi.org/10.3390/rs14215605openalex-snapshot
A Spatial–Temporal Depth-Wise Residual Network for Crop Sub-Pixel Mapping from MODIS Images
inferred← citeshttps://doi.org/10.3390/rs14225903openalex-snapshot
Quality Control of CyGNSS Reflectivity for Robust Spatiotemporal Detection of Tropical Wetlands
inferred← citeshttps://doi.org/10.3390/rs15082001openalex-snapshot
Monitoring and Mapping Floods and Floodable Areas in the Mekong Delta (Vietnam) Using Time-Series Sentinel-1 Images, Convolutional Neural Network, Multi-Layer Perceptron, and Random Forest
inferred← citeshttps://doi.org/10.3390/rs15153782openalex-snapshot
A Spatial–Temporal Bayesian Deep Image Prior Model for Moderate Resolution Imaging Spectroradiometer Temporal Mixture Analysis
inferred← citeshttps://doi.org/10.3390/rs15153856openalex-snapshot
Review Analysis of Irrigation and Application of Remote Sensing in the Lower Mekong River Basin
inferred← citeshttps://doi.org/10.3390/rs16030478openalex-snapshot
Hyperspectral Image Classification on Large-Scale Agricultural Crops: The Heilongjiang Benchmark Dataset, Validation Procedure, and Baseline Results
inferred← citeshttps://doi.org/10.3390/rs16091633openalex-snapshot
Multi-Year Cropland Mapping Based on Remote Sensing Data: A Case Study for the Khabarovsk Territory, Russia
inferred← citeshttps://doi.org/10.3390/rs16193569openalex-snapshot
Enhanced Monitoring of Sub-Seasonal Land Use Dynamics in Vietnam’s Mekong Delta through Quantile Mapping and Harmonic Regression
inferred← citeshttps://doi.org/10.3390/rs17091583openalex-snapshot
Mapping Rice Phenology Using MODIS Products in An Giang Province, Mekong River Delta, Vietnam
inferred← citeshttps://doi.org/10.3390/rs18183241openalex-snapshot
Cross-Regional Classification of Rice Cropping Systems Based on Within-Year Seasonal Composition Using Multimodal Remote-Sensing Time Series
inferred← citeshttps://doi.org/10.3390/rs71215808openalex-snapshot
Mapping Rice Seasonality in the Mekong Delta with Multi-Year Envisat ASAR WSM Data
inferred← citeshttps://doi.org/10.3390/rs8010019openalex-snapshot
Mapping Rice Cropping Systems in Vietnam Using an NDVI-Based Time-Series Similarity Measurement Based on DTW Distance
inferred← citeshttps://doi.org/10.3390/rs8030202openalex-snapshot
Multitemporal Monitoring of Plant Area Index in the Valencia Rice District with PocketLAI
inferred← citeshttps://doi.org/10.3390/rs8050434openalex-snapshot
Mapping Paddy Rice in China in 2002, 2005, 2010 and 2014 with MODIS Time Series
inferred← citeshttps://doi.org/10.3390/rs8060479openalex-snapshot
An Object-Based Paddy Rice Classification Using Multi-Spectral Data and Crop Phenology in Assam, Northeast India
inferred← citeshttps://doi.org/10.3390/rs9121232openalex-snapshot
High Resolution Mapping of Cropping Cycles by Fusion of Landsat and MODIS Data
inferred← citeshttps://doi.org/10.3390/s17010010openalex-snapshot
Object-Based Paddy Rice Mapping Using HJ-1A/B Data and Temporal Features Extracted from Time Series MODIS NDVI Data
inferred← citeshttps://doi.org/10.3390/s18030860openalex-snapshot
Evaluating Heavy Metal Stress Levels in Rice Based on Remote Sensing Phenology
inferred← citeshttps://doi.org/10.3390/s23156932openalex-snapshot
Identification of Paddy Croplands and Its Stages Using Remote Sensors: A Systematic Review
inferred← citeshttps://doi.org/10.3390/su15021373openalex-snapshot
Phenology Metrics for Vegetation Type Classification in Estuarine Wetlands Using Satellite Imagery
inferred← citeshttps://doi.org/10.4314/sajg.v8i2.10openalex-snapshot
A multi-temporal phenology based classification approach for Crop Monitoring in Kenya
inferred← citeshttps://doi.org/10.5194/essd-15-3991-2023openalex-snapshot
High-resolution global map of closed-canopy coconut palm
inferred← citeshttps://doi.org/10.5194/essd-16-1689-2024openalex-snapshot
ChinaRiceCalendar – seasonal crop calendars for early-, middle-, and late-season rice in China
inferred← citeshttps://doi.org/10.5194/essd-2022-463-ac1openalex-snapshot
Reply on RC1
inferred← citeshttps://doi.org/10.5194/essd-2022-463-ac2openalex-snapshot
Reply on RC2
inferred← citeshttps://doi.org/10.5194/essd-2022-463-rc1openalex-snapshot
Comment on essd-2022-463
inferred← citeshttps://doi.org/10.5194/essd-2022-463-rc2openalex-snapshot
Comment on essd-2022-463
inferred← citeshttps://doi.org/10.5194/essd-2023-125-ac1openalex-snapshot
Response letter to reviewers on essd-2023-125
inferred← citeshttps://doi.org/10.5194/essd-2023-125-ac2openalex-snapshot
Comment on essd-2023-125
inferred← citeshttps://doi.org/10.5194/essd-2023-125-rc1openalex-snapshot
Comment on essd-2023-125
inferred← citeshttps://doi.org/10.5194/essd-2023-125-rc2openalex-snapshot
Comment on essd-2023-125
inferred← citeshttps://doi.org/10.5194/essd-2023-125-rc3openalex-snapshot
Comment on essd-2023-125
inferred← citeshttps://doi.org/10.5194/isprs-archives-xli-b8-863-2016openalex-snapshot
RICE CROP MAPPING USING SENTINEL-1A PHENOLOGICAL METRICS
inferred← citeshttps://doi.org/10.5194/isprs-archives-xlii-4-w18-897-2019openalex-snapshot
RICE CROP MAPPING USING SENTINEL-1 TIME SERIES IMAGES (CASE STUDY: MAZANDARAN, IRAN)
inferred← citeshttps://doi.org/10.54491/jgac.2017.31.209openalex-snapshot
Thành lập bản đồ tần suất canh tác lúa khu vực huyện Tiền Hải, tỉnh Thái Bình sử dụng tư liệu viễn thám đa thời gian
inferred← citeshttps://doi.org/10.5721/eujrs20164903openalex-snapshot
A logistic-based method for rice monitoring from multitemporal MODIS-Landsat fusion data
inferred← citeshttps://doi.org/10.70675/1e220a3czf79az48bbzada3ze0704f8a0509openalex-snapshot
Rice monitoring using radar remote sensing
inferred← citeshttps://doi.org/10.7780/kjrs.2015.31.1.2openalex-snapshot
Determining Canopy Growth Conditions of Paddy Rice via Ground-based Remote Sensing
inferred← citeshttps://doi.org/10.9755/ejfa.2023.3172openalex-snapshot
Delineation of Rice Yield and Production in Combination of Crop Model and Remote Sensing
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.