Zobrazeno 1 - 10
of 635
pro vyhledávání: '"Vegetation water content"'
Autor:
Guoqiang Chen, Wenjin Wu, Yaqi Geng, Qiong Chen, Yuanzhen Ren, Sijia Li, Yongfeng Suo, Kai Wu, Huadong Guo
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTChanges in water content dynamics can serve as predictive indicators for catastrophic transitions in vegetation tipping elements. Vegetation water content is a rapidly changing parameter with sub-daily fluctuations, and current space-borne se
Externí odkaz:
https://doaj.org/article/d1bb2ec19bd44d169ca882fa4501326b
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 19, Pp n/a-n/a (2024)
Abstract Water stress in the Amazon is exacerbated by rising temperatures and reduced moisture levels. However, understanding forest responses to increased aridity is hindered by limited in situ water potential observations in the Amazon. Remote sens
Externí odkaz:
https://doaj.org/article/cc7d3e28a1c84b18ae7a3f3289b1c2bd
Autor:
Jiaqi Zhang, Tianjie Zhao, Shurun Tan, Nemesio Rodriguez-Fernandez, Huazhu Xue, Na Yang, Yann Kerr, Jiancheng Shi
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 3, Pp 744-760 (2024)
The two vegetation transfer parameters of [Formula: see text] (Vegetation Optical Depth,VOD) and [Formula: see text] (Omega) could vary significantly across microwave channels in terms of frequencies, polarizations, and incidence angles, and their ch
Externí odkaz:
https://doaj.org/article/458ae538721e4a82886ce03d6c2a4586
Autor:
Andrew F. Feldman
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 14, Pp n/a-n/a (2024)
Abstract 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 da
Externí odkaz:
https://doaj.org/article/82ed5f92d0da496c936d452d6b238de8
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15463-15479 (2024)
High temporal soil moisture at field scale resolution (10 m–100 m) is important for smart farming decisions. Although, medium and coarse resolution (1 km–50 km) soil moisture information is operationally available on a large scale, high resolutio
Externí odkaz:
https://doaj.org/article/b32f9a8cbed445c4a6ebd7c846e760f0
Autor:
Adrian Perez-Portero, Nereida Rodriguez-Alvarez, Joan Francesc Munoz-Martin, Xavier Bosch-Lluis, Kamal Oudrhiri
Publikováno v:
IEEE Access, Vol 12, Pp 73608-73619 (2024)
Soil Moisture (SM) is a key geophysical variable that enables a better understanding of the Earth’s hydrological processes. Missions like Soil Moisture Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) have been the primary sources of S
Externí odkaz:
https://doaj.org/article/ed1c4a9a64504e9dade2aad86f6c9406
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5093-5105 (2024)
In this study, we conducted an empirical investigation on mobile global navigation satellite system (GNSS) transmissometry (GNSS-T) measurements to explore vegetation optical depth (VOD). Our approach involved using a dual-receiver setup, with one re
Externí odkaz:
https://doaj.org/article/6b6c6d7952d846389b53aba2c15d5cf9
Publikováno v:
Earth and Space Science, Vol 11, Iss 3, Pp n/a-n/a (2024)
Abstract A theory of maximum entropy production (MEP) for electromagnetic wave propagation in dielectric materials is proposed and applied to simultaneously retrieving soil moisture (SM) and vegetation water content (VWC) from L‐band microwave brig
Externí odkaz:
https://doaj.org/article/bd2d15006de947c4974908f1d9345d5b
Publikováno v:
Environment International, Vol 184, Iss , Pp 108439- (2024)
Microwaves have the advantage of penetrating vegetation and exhibit sensitivity to properties such as vegetation water content (VWC); yet, their potential utility in the fire domain is infrequently investigated. This study elucidates the different im
Externí odkaz:
https://doaj.org/article/4031c3be388e4c3a878dfdd8232f66d4
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 931 (2024)
In this study, a new vegetation observable derived from spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) was developed. Firstly, a linear relationship between the Cyclone Global Navigation Satellite System (CYGNSS) reflectivity an
Externí odkaz:
https://doaj.org/article/41058e22f1cb47c5bbbe5a695b76ffa3