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https://doi.org/10.2139/ssrn.4654124

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inferredcites →https://doi.org/10.1002/joc.4244openalex-extracted
The alleviating trend of drought in the Huang‐Huai‐Hai Plain of China based on the daily SPEI
inferredcites →https://doi.org/10.1007/s11434-014-0645-3openalex-extracted
Scientific big data and Digital Earth
inferredcites →https://doi.org/10.1007/s12524-016-0635-9openalex-extracted
Multi-Index Soil Moisture Estimation from Satellite Earth Observations: Comparative Evaluation of the Topographic Wetness Index (TWI), the Temperature Vegetation Dryness Index (TVDI) and the Improved TVDI (iTVDI)
inferredcites →https://doi.org/10.1016/j.agee.2015.03.033openalex-extracted
Assessing vulnerability and adaptive capacity to potential drought for winter-wheat under the RCP 8.5 scenario in the Huang-Huai-Hai Plain
inferredcites →https://doi.org/10.1016/j.agrformet.2016.06.004openalex-extracted
Monitoring winter wheat drought threat in Northern China using multiple climate-based drought indices and soil moisture during 2000–2013
inferredcites →https://doi.org/10.1016/j.agwat.2015.12.026openalex-extracted
Effects of water stress on photosynthetic characteristics, dry matter translocation and WUE in two winter wheat genotypes
inferredcites →https://doi.org/10.1016/j.agwat.2020.106636openalex-extracted
Drought monitoring of the maize planting areas in Northeast and North China Plain
inferredcites →https://doi.org/10.1016/j.agwat.2021.107282openalex-extracted
Estimating potential yield and change in water budget for wheat and maize across Huang-Huai-Hai Plain in the future
inferredcites →https://doi.org/10.1016/j.agwat.2022.107911openalex-extracted
Physiological response of winter wheat (Triticum aestivum L.) during vegetative growth to gradual, persistent and intermittent drought
inferredcites →https://doi.org/10.1016/j.agwat.2023.108442openalex-extracted
Evaluation of UAV-based drought indices for crop water conditions monitoring: A case study of summer maize
inferredcites →https://doi.org/10.1016/j.eja.2016.04.013openalex-extracted
Data fusion of spectral, thermal and canopy height parameters for improved yield prediction of drought stressed spring barley
inferredcites →https://doi.org/10.1016/j.envsoft.2022.105327openalex-extracted
A review of machine learning methods for drought hazard monitoring and forecasting: Current research trends, challenges, and future research directions
inferredcites →https://doi.org/10.1016/j.isprsjprs.2020.04.001openalex-extracted
Google Earth Engine for geo-big data applications: A meta-analysis and systematic review
inferredcites →https://doi.org/10.1016/j.jag.2007.11.003openalex-extracted
Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China
inferredcites →https://doi.org/10.1016/j.jag.2013.12.006openalex-extracted
Estimating soil moisture and the relationship with crop yield using surface temperature and vegetation index
inferredcites →https://doi.org/10.1016/j.jag.2021.102375openalex-extracted
A deep learning framework under attention mechanism for wheat yield estimation using remotely sensed indices in the Guanzhong Plain, PR China
inferredcites →https://doi.org/10.1016/j.jhydrol.2023.129504openalex-extracted
Correlation of climate change and human activities with agricultural drought and its impact on the net primary production of winter wheat
inferredcites →https://doi.org/10.1016/j.rse.2017.06.031openalex-extracted
Google Earth Engine: Planetary-scale geospatial analysis for everyone
inferredcites →https://doi.org/10.1016/j.rse.2019.111400openalex-extracted
Mapping three decades of annual irrigation across the US High Plains Aquifer using Landsat and Google Earth Engine
inferredcites →https://doi.org/10.1016/j.rse.2022.113330openalex-extracted
An angular normalization method for temperature vegetation dryness index (TVDI) in monitoring agricultural drought
inferredcites →https://doi.org/10.1016/j.scitotenv.2016.02.115openalex-extracted
Drought monitoring based on TIGGE and distributed hydrological model in Huaihe River Basin, China
inferredcites →https://doi.org/10.1016/j.scitotenv.2021.151393openalex-extracted
Climate-associated major food crops production change under multi-scenario in China
inferredcites →https://doi.org/10.1016/j.scitotenv.2022.157239openalex-extracted
Spatial based drought assessment: Where are we heading? A review on the current status and future
inferredcites →https://doi.org/10.1016/s0034-4257(01)00274-7openalex-extracted
A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status
inferredcites →https://doi.org/10.1016/s0034-4257(03)00131-7openalex-extracted
Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression
inferredcites →https://doi.org/10.1016/s2095-3119(16)61464-8openalex-extracted
Effects of meteorological factors on different grades of winter wheat growth in the Huang-Huai-Hai Plain, China
inferredcites →https://doi.org/10.1016/s2095-3119(19)62585-2openalex-extracted
The impacts of climate change on wheat yield in the Huang-Huai-Hai Plain of China using DSSAT-CERES-Wheat model under different climate scenarios
inferredcites →https://doi.org/10.1038/nclimate2266openalex-extracted
Effects of double cropping on summer climate of the North China Plain and neighbouring regions
inferredcites →https://doi.org/10.1080/01431160110119416openalex-extracted
Global correlation analysis for NDVI and climatic variables and NDVI trends: 1982-1990
inferredcites →https://doi.org/10.1111/gcb.12795openalex-extracted
Detection and attribution of vegetation greening trend in China over the last 30 years
inferredcites →https://doi.org/10.1111/gcb.12945openalex-extracted
Time‐lag effects of global vegetation responses to climate change
inferredcites →https://doi.org/10.1175/2009jcli2900.1openalex-extracted
Use of NDVI and Land Surface Temperature for Drought Assessment: Merits and Limitations
inferredcites →https://doi.org/10.3390/rs10101509openalex-extracted
Google Earth Engine Applications Since Inception: Usage, Trends, and Potential
inferredcites →https://doi.org/10.3390/w8120557openalex-extracted
Assessment of FAO AquaCrop Model for Simulating Maize Growth and Productivity under Deficit Irrigation in a Tropical Environment
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