Phenologically Corrected Crop Condition Mapping and Assessment with Vegetation Index Time Series-Reference-Cited by-同舟云学术

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Phenologically Corrected Crop Condition Mapping and Assessment with Vegetation Index Time Series

Published:2024-07-15 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 12th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)
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Author:

Zhao Haoteng¹,Gao Feng²,Anderson Martha²,Cirone Richard²,Chang Jisung¹,Lin Li³,Zhang Chen³,Li Hui³,Zhao Haipeng⁴

Affiliation:

1. USDA-ARS & ORISE,Hydrology and Remote Sensing Lab,Beltsville,MD,USA

2. USDA-ARS,Hydrology and Remote Sensing Lab,Beltsville,MD,USA

3. George Mason University,Center for Spatial Information Science and Systems,Fairfax,VA,USA

4. Nicholas School of the Environment Duke University,Division of Earth and Climate Sciences,Durham,NC,USA

Funder

Agricultural Research Service

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10660664/10660668/10660930.pdf?arnumber=10660930

Reference27 articles.

1. Crop-CASMA - A Web GIS Tool for Cropland Soil Moisture Monitoring and Assessment Based on SMAP Data

2. Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over U.S. Cropland

3. WaterSmart-GIS: A Web Application of a Data Assimilation Model to Support Irrigation Research and Decision Making

4. A Review of Scientific Irrigation Scheduling Methods

5. An Automated Data-Driven Irrigation Scheduling Approach Using Model Simulated Soil Moisture and Evapotranspiration

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