TY - GEN
T1 - Impacts of Soil Moisture on Crop Health
T2 - 9th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2021
AU - Zhao, Haoteng
AU - Di, Liping
AU - Sun, Ziheng
AU - Hao, Pengyu
AU - Yu, Eugene
AU - Zhang, Chen
AU - Lin, Li
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/26
Y1 - 2021/7/26
N2 - Monitoring the effects of soil moisture on crop health is important for applications such as irrigation decision support, food security, precision agriculture as well as for more broadly understanding relationships between water and carbon cycles. In this study, we examine the relationships between soil moisture and crop health indicators, how they respond to each other on timescales from days to weeks. The satellite-derived indicators considered are the normalized difference vegetation index (NDVI) derived from reflectance obtained with moderately wide (20-40 nm) spectral bands in the visible and near-infrared (NIR) and soil moisture products that extends to about 1 m depth from Soil Moisture Active Passive (SMAP) mission. We find that NDVI have significant correlations with soil moisture in crop fields of Nebraska. Crop types and soil types also greatly influence the correlation between crop health and soil moisture changes at various rates and strength.
AB - Monitoring the effects of soil moisture on crop health is important for applications such as irrigation decision support, food security, precision agriculture as well as for more broadly understanding relationships between water and carbon cycles. In this study, we examine the relationships between soil moisture and crop health indicators, how they respond to each other on timescales from days to weeks. The satellite-derived indicators considered are the normalized difference vegetation index (NDVI) derived from reflectance obtained with moderately wide (20-40 nm) spectral bands in the visible and near-infrared (NIR) and soil moisture products that extends to about 1 m depth from Soil Moisture Active Passive (SMAP) mission. We find that NDVI have significant correlations with soil moisture in crop fields of Nebraska. Crop types and soil types also greatly influence the correlation between crop health and soil moisture changes at various rates and strength.
KW - crop health
KW - irrigation
KW - NDVI
KW - remote sensing
KW - soil moisture
UR - http://www.scopus.com/inward/record.url?scp=85115787713&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85115787713&partnerID=8YFLogxK
U2 - 10.1109/Agro-Geoinformatics50104.2021.9530318
DO - 10.1109/Agro-Geoinformatics50104.2021.9530318
M3 - Conference contribution
AN - SCOPUS:85115787713
T3 - 2021 9th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2021
BT - 2021 9th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2021
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 26 July 2021 through 29 July 2021
ER -
