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Difference in Canopy and Air Temperature as an Indicator of Grassland Water Stress

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-05699-9_6openalex-snapshot

Crop Evapotranspiration

inferredcites →https://doi.org/10.1016/0002-1571(81)90032-7openalex-snapshot

Normalizing the stress-degree-day parameter for environmental variability

inferredcites →https://doi.org/10.1016/0002-1571(82)90020-6openalex-snapshot

Non-water-stressed baselines: A key to measuring and interpreting plant water stress

inferredcites →https://doi.org/10.1016/0002-1571(83)90010-9openalex-snapshot

The use of canopy temperature as an indicator of drought stress in humid regions

inferredcites →https://doi.org/10.1016/0002-1571(84)90001-3openalex-snapshot

A theoretical basis for the leaf equivalence point temperature

inferredcites →https://doi.org/10.1029/wr013i003p00651openalex-snapshot

Wheat canopy temperature: A practical tool for evaluating water requirements

inferredcites →https://doi.org/10.1029/wr017i004p01133openalex-snapshot

Canopy temperature as a crop water stress indicator

inferredcites →https://doi.org/10.1063/1.3128494openalex-snapshot

Principles of Environmental Physics

inferredcites →https://doi.org/10.1080/01431160512331326503openalex-snapshot

MODIS land surface temperature composite data and their relationships with climatic water budget factors in the central Great Plains

inferredcites →https://doi.org/10.1088/0031-9112/25/2/025openalex-snapshot

Principles of Environmental Physics

inferredcites →https://doi.org/10.2134/agronj1973.00021962006500030016xopenalex-snapshot

Cotton Leaf Temperatures as Related to Soil Water Depletion and Meteorological Factors1

inferredcites →https://doi.org/10.2135/cropsci1994.0011183x003400010033xopenalex-snapshot

Red Clover Seed Production: II. Plant Water Status on Yield and Yield Components

inferredcites →https://doi.org/10.2135/cropsci1994.0011183x003400030029xopenalex-snapshot

White Clover Seed Production: I. Crop Water Requirements and Irrigation Timing

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4106265openalex-extracted

Applicability of the Crop Water Stress Index Based on Canopy–Air Temperature Differences for Water Diagnosis in a Cork Oak Plantation, Northern China

inferred← citeshttps://doi.org/10.2139/ssrn.4581361openalex-extracted

inferred← citeshttps://doi.org/10.1007/s00704-014-1167-2openalex-snapshot

A method to estimate maximum and minimum air temperature using MODIS surface temperature and vegetation data: application to the Maipo Basin, Chile

inferred← citeshttps://doi.org/10.1007/s00704-018-2472-yopenalex-snapshot

Characterization of land surface energy fluxes in a tropical lowland rice paddy

inferred← citeshttps://doi.org/10.1007/s10661-020-08788-zopenalex-snapshot

Evaluation of the MOD11A2 product for canopy temperature monitoring in the Brazilian Atlantic Forest

inferred← citeshttps://doi.org/10.1007/s42729-021-00490-4openalex-snapshot

Co-composted Poultry Litter Biochar Enhanced Soil Quality and Eggplant Productivity Under Different Irrigation Regimes

inferred← citeshttps://doi.org/10.1016/j.agrformet.2024.110206openalex-snapshot

Canopy temperature dynamics are closely aligned with ecosystem water availability across a water- to energy-limited gradient

inferred← citeshttps://doi.org/10.1016/j.ecolind.2022.109846openalex-snapshot

Analysis of fluctuations in vegetation dynamic over Africa using satellite data of solar-induced chlorophyll fluorescence

inferred← citeshttps://doi.org/10.1016/j.eja.2022.126548openalex-snapshot

Improving water status prediction of winter wheat using multi-source data with machine learning

inferred← citeshttps://doi.org/10.1016/j.jaridenv.2025.105318openalex-snapshot

Semiarid woody plant functional groups contribute differently to canopy conductance

inferred← citeshttps://doi.org/10.1016/j.rsase.2025.101661openalex-snapshot

Estimating crop evapotranspiration using drone imagery, ground canopy temperature, and machine learning techniques

inferred← citeshttps://doi.org/10.1038/s41612-023-00442-yopenalex-snapshot

Seasonal and long-term dynamics in forest microclimate effects: global pattern and mechanism

inferred← citeshttps://doi.org/10.1080/13416979.2020.1756616openalex-snapshot

Analyzing the leafing phenology ofQuercus crispulaBlume using the growing degree days model

inferred← citeshttps://doi.org/10.1109/apusncursinrsm.2019.8889330openalex-snapshot

The Future of Backscatter in Precision Agriculture

inferred← citeshttps://doi.org/10.1111/nph.19127openalex-snapshot

Thermography captures the differential sensitivity of dryland functional types to changes in rainfall event timing and magnitude

inferred← citeshttps://doi.org/10.1515/fhort-2015-0025openalex-snapshot

Influence of seed priming and water stress on selected physiological traits of borage

inferred← citeshttps://doi.org/10.30536/j.pjpdcd.2017.v14.a2592openalex-snapshot

VALUASI JUMLAH AIR DI EKOSISTEM LAHAN GAMBUT DENGAN DATA LANDSAT 8 OLI/TIRS

inferred← citeshttps://doi.org/10.3390/agronomy9080447openalex-snapshot

Physiological Responses of Selected Vegetable Crop Species to Water Stress

inferred← citeshttps://doi.org/10.3390/su11236601openalex-snapshot

A High-Temperature Risk Assessment Model for Maize Based on MODIS LST

inferred← citeshttps://doi.org/10.70675/a6e88cc1z5cb6z43e0zb7dfza6c7ee7816a2openalex-snapshot

Caractérisation des échanges d'eau et d'énergie dans une oliveraie pluviale en zone aride : modélisation et intégration des données de télédétection

inferred← citeshttps://doi.org/10.7132/jrcsa.28_1_1openalex-snapshot

Relationship between Surface and Air Temperatures for Irrigated Fields

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