Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Unmesh Khati"'
Publikováno v:
Remote Sensing, Vol 16, Iss 20, p 3871 (2024)
Forest degradation is a major issue in ecosystem monitoring, and to take reformative measures, it is important to detect, map, and quantify the losses of forests. Synthetic Aperture Radar (SAR) time-series data have the potential to detect forest los
Externí odkaz:
https://doaj.org/article/ea1daa9ffc494ec1ac52d6329aac30cb
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 118, Iss , Pp 103252- (2023)
Accurate mapping of forest above ground biomass (AGB) is essential for understanding changes in the rate of ecosystem processes such as biomass productivity, litter productivity, actual litter decomposition, and potential litter decomposition during
Externí odkaz:
https://doaj.org/article/7e2d205228c2499ea109c949d3799537
Publikováno v:
Frontiers in Forests and Global Change, Vol 5 (2022)
Canopy height is a critical parameter in quantifying the vertical structure of forests. Polarimetric SAR Interferometry (PolInSAR) is a radar remote sensing technique that makes use of polarimetric separation of scattering phase centers obtained from
Externí odkaz:
https://doaj.org/article/41a94a7b36b3487395065e7aee5401ab
Autor:
Unmesh Khati, Gulab Singh
Publikováno v:
Frontiers in Forests and Global Change, Vol 5 (2022)
Synthetic aperture radar (SAR) backscatter based above-ground biomass (AGB) estimates are limited by the saturation of the backscatter-AGB curve. This work explores the potential of combining backscatter with polarimetric SAR interferometry (PolInSAR
Externí odkaz:
https://doaj.org/article/0f80917c43e24226a470cf63d5ba09d7
Publikováno v:
Frontiers in Earth Science, Vol 9 (2021)
Physics-based algorithms estimating large-scale forest above-ground biomass (AGB) from synthetic aperture radar (SAR) data generally use airborne laser scanning (ALS) or grid of national forest inventory (NFI) to reduce uncertainties in the model cal
Externí odkaz:
https://doaj.org/article/7275b9b1761d4d24848eb7fb4db167c0
Publikováno v:
Advances in Space Research. 66:1863-1875
Managed forests, dynamic with activities of harvest and afforestation, have become an area of imminent research opportunity to understand the effects of these disturbances and regrowth dynamics. As low frequency polarized radar signals have the abili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa4112cb2c2ca84a3a6b99133c635dc6
https://doi.org/10.1016/j.asr.2020.07.007
https://doi.org/10.1016/j.asr.2020.07.007
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 164:184-199
In this paper, we investigate the correction of ionospheric amplitude scintillations appearing as image artifacts in low frequency synthetic aperture radar (SAR) data. A method has been proposed to separate amplitude and phase components of fully pol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e6e9b25b6231261e5eab502c5a81e80
https://doi.org/10.1016/j.isprsjprs.2020.04.005
https://doi.org/10.1016/j.isprsjprs.2020.04.005
Publikováno v:
Frontiers in Earth Science, Vol 9 (2021)
Physics-based algorithms estimating large-scale forest above-ground biomass (AGB) from synthetic aperture radar (SAR) data generally use airborne laser scanning (ALS) or grid of national forest inventory (NFI) to reduce uncertainties in the model cal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::970c9361fb7b616d3f20837f43426dcf
https://doi.org/10.3389/feart.2021.752254
https://doi.org/10.3389/feart.2021.752254
Publikováno v:
Remote Sensing of Environment. 229:193-212
Synthetic Aperture Radar (SAR) backscatter is the coherent combination of the scattering from multiple individual scatterers within the radar resolution cell, which results into a 2-D radar image. Tomographic SAR (TomoSAR) takes advantage of multiple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5ce9f74a3d6c5b33b1f2c691c8ab86f
https://doi.org/10.1016/j.rse.2019.04.017
https://doi.org/10.1016/j.rse.2019.04.017
Publikováno v:
Remote Sensing; Volume 12; Issue 20; Pages: 3397
Forest above-ground biomass (AGB) estimation from SAR backscatter is affected by varying imaging and environmental conditions. This paper quantifies and compares the performance of forest biomass estimation from L-band SAR backscatter measured select
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ba9859d30d723ff97f96cebf532f992