Results 61 to 70 of about 290 (136)

A Novel Active-Microwave Method to Estimate 1 km Vegetation Optical Depth Over the Heihe River Basin

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The present study proposes a method for retrieving C-band vegetation optical depth (VOD) using high-resolution Sentinel-1 VV-polarized backscatter data over the Heihe River Basin.
Zhixuan Lu, Lei Fan, Gabrielle De Lannoy, Xiaojing Bai, Xiangzhuo Liu, Zanpin Xing, Zhilan Zhou, Jiangyuan Zeng, Frederic Frappart, Jian Peng, Tao Che, Liying Geng, Xiaojun Li, Xin Li, Nicholas N. Baghdadi, Jean-Pierre Wigneron   +15 more
doaj   +1 more source

Estimating Vegetation Optical Depth With Mobile GNSS Transmissiometry in Temperate Forests During SMAPVEX22

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This study investigates the potential of mobile global navigation satellite system (GNSS) transmissometry (GNSS-T) measurements for estimating vegetation optical depth (VOD) in temperate forests, focusing on the Soil Moisture Active Passive (SMAP ...
Abesh Ghosh, Md Mehedi Farhad, Mohammad Ehsanul Hoque, Dylan Ray Boyd, Laura Bourgeau-Chavez, Michael H. Cosh, Andreas Colliander, Mehmet Kurum   +7 more
doaj   +1 more source

Microwave Vegetation Index from Multi-Angular Observations and Its Application in Vegetation Properties Retrieval: Theoretical Modelling

Remote Sensing, 2019
Monitoring global vegetation dynamics is of great importance for many environmental applications. The vegetation optical depth (VOD), derived from passive microwave observation, is sensitive to the water content in all aboveground vegetation and could ...
Somayeh Talebiesfandarani, Tianjie Zhao, Jiancheng Shi, Paolo Ferrazzoli, Jean-Pierre Wigneron, Mehdi Zamani, Peejush Pani   +6 more
doaj   +1 more source

1 km L-VOD retrieval from the synergy of Sentinel-1 SAR and SMOS radiometer data for subtropical evergreen vegetation dynamics in China

Ecological Indicators
The L-band vegetation optical depth (L-VOD) with high spatial resolution is essential for monitoring vegetation traits. However, the spatial resolution of current VOD products is relatively coarse (∼ 9–36 km).
Qin Yang, Zhi Huang, Binbin Guo
doaj   +1 more source

Publication Only

HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

Physics-Informed Enhanced Machine Learning for Global Vegetation Optical Depth Retrieval Using Spaceborne GNSS-R

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Vegetation optical depth (VOD), as a key parameter of vegetation, plays an important role in the process of vegetation growth and change. The spaceborne Global Navigation Satellite System Reflectometry (GNSS-R) technology in the L-band provides a new ...
Jinwei Bu, Huan Li, Chaoying Ji, Xinyu Liu, Weimin Huang, Kegen Yu, Xiaoqing Zuo   +6 more
doaj   +1 more source

Vegetation optical depth as a key predictor for fire risk escalation

Ecological Informatics
Excluding direct consideration of vegetation dynamics reduces the accuracy in fire risk estimation. Satellite retrievals of vegetation dynamics can enhance the fire risk prediction when used as indicators of fuel water status and fuel load.
Dinuka Kankanige, Yi Y. Liu, Ashish Sharma   +2 more
doaj   +1 more source

Emerging Methods to Validate Remotely Sensed Vegetation Water Content

Geophysical Research Letters
Satellite‐retrieved vegetation optical depth (VOD) has provided extensive insights into global plant function (such as, carbon stocks, water stress, crop yields) because of VOD's ability to monitor plant water stress and biomass at near daily temporal ...
Andrew F. Feldman
doaj   +1 more source

Intraseasonal variability of vegetation water content in India driven by monsoon hydrometeorology

Environmental Research Letters
Understanding how Indian vegetation during the summer monsoon (June–September) responds to intraseasonal variability, with hydrometeorological stressors like vapor pressure deficit (VPD) and soil moisture (SM), is crucial and yet it is not well-explored.
Sampelli Anoop, Muvva Venkata Ramana, Raghu Murtugudde, Andrew F Feldman, Subhankar Karmakar, Subimal Ghosh   +5 more
doaj   +1 more source

Analyzing satellite and airborne Ka-band passive microwave observations over land for temperature and vegetation monitoring

Frontiers in Remote Sensing
Passive microwave observations at Ka-band (36‐37 GHz) have been widely available for decades, but their full potential for land applications has been hardly exploited. This study analyzed Ka‐band observations at different spatial scales.
Richard de Jeu, Yoann Malbeteau, Ruxandra-Maria Zotta, Wouter Dorigo, Xiaoling Wu, Jeffrey Walker, Diego G. Miralles   +6 more
doaj   +1 more source