A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses

L Karthikeyan, I Chawla, AK Mishra - Journal of Hydrology, 2020 - Elsevier
The global population is expected to reach 9.8 billion by 2050. There is an exponential
growth of food production to meet the needs of the growing population. However, the limited …

Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future

ZL Li, P Leng, C Zhou, KS Chen, FC Zhou… - Earth-Science …, 2021 - Elsevier
Soil moisture (SM) is an essential parameter for understanding the interactions and
feedbacks between the atmosphere and the Earth's surface through energy and water …

A new SMAP soil moisture and vegetation optical depth product (SMAP-IB): Algorithm, assessment and inter-comparison

X Li, JP Wigneron, L Fan, F Frappart, SH Yueh… - Remote Sensing of …, 2022 - Elsevier
Passive microwave remote sensing at L-band (1.4 GHz) provides an unprecedented
opportunity to estimate global surface soil moisture (SM) and vegetation water content (via …

Estimation of soil moisture content under high maize canopy coverage from UAV multimodal data and machine learning

M Cheng, X Jiao, Y Liu, M Shao, X Yu, Y Bai… - Agricultural Water …, 2022 - Elsevier
An accurate in-field estimate of soil moisture content (SMC) is critical for precision irrigation
management. Current ground methods to measure SMC were limited by the disadvantages …

Global monitoring of the vegetation dynamics from the Vegetation Optical Depth (VOD): A review

F Frappart, JP Wigneron, X Li, X Liu, A Al-Yaari, L Fan… - Remote Sensing, 2020 - mdpi.com
Vegetation is a key element in the energy, water and carbon balances over the land
surfaces and is strongly impacted by climate change and anthropogenic effects. Remotely …

Global-scale assessment and inter-comparison of recently developed/reprocessed microwave satellite vegetation optical depth products

X Li, JP Wigneron, F Frappart, L Fan, P Ciais… - Remote Sensing of …, 2021 - Elsevier
The vegetation optical depth (VOD), a vegetation index retrieved from passive or active
microwave remote sensing systems, is related to the intensity of microwave extinction effects …

Seasonal variations in vegetation water content retrieved from microwave remote sensing over Amazon intact forests

H Wang, JP Wigneron, P Ciais, Y Yao, L Fan… - Remote Sensing of …, 2023 - Elsevier
Vegetation optical depth (VOD) is seasonally sensitive to plant water content and
aboveground biomass. This index has a strong penetrability within the vegetation canopy …

Estimation of 1-km all-weather remotely sensed land surface temperature based on reconstructed spatial-seamless satellite passive microwave brightness …

X Zhang, J Zhou, S Liang, L Chai, D Wang… - ISPRS journal of …, 2020 - Elsevier
All-weather remotely sensed land surface temperature (LST) with a 1-km resolution from
combined satellite passive microwave (MW) and thermal infrared (TIR) remote sensing data …

A twenty-year dataset of soil moisture and vegetation optical depth from AMSR-E/2 measurements using the multi-channel collaborative algorithm

L Hu, T Zhao, W Ju, Z Peng, J Shi… - Remote Sensing of …, 2023 - Elsevier
Soil moisture (SM) and vegetation optical depth (VOD) are essential variables in the
terrestrial ecosystem. The multi-frequency radiometers AMSR-E and AMSR2 provide> 20 …

First assessment of optical and microwave remotely sensed vegetation proxies in monitoring aboveground carbon in tropical Asia

T Cui, L Fan, P Ciais, R Fensholt, F Frappart… - Remote Sensing of …, 2023 - Elsevier
Tropical Asia has shown a strong greening trend in recent years. However, detailed
knowledge about changes in carbon stocks remain uncertain as only few studies have used …