Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Huanna Zheng"'
Publikováno v:
Forests, Vol 15, Iss 9, p 1660 (2024)
SAR images with two polarizations show strong potential for mapping forest stock volume (FSV) combined with limited samples. However, accurately mapping FSV still presents challenges in selecting the optimal acquisition date to obtain the SAR images
Externí odkaz:
https://doaj.org/article/3ca6684116004da9819342949c49c7c6
Publikováno v:
Forests, Vol 15, Iss 6, p 995 (2024)
As one of the important types of forest resources, mapping forest stock volume (FSV) in larch (Larix decidua) forests holds significant importance for forest resource management, carbon cycle research, and climate change monitoring. However, the accu
Externí odkaz:
https://doaj.org/article/b4196991bd09441b96264bf7ea4cee09
Publikováno v:
Forests, Vol 14, Iss 9, p 1700 (2023)
Polarimetric Synthetic Aperture Radar (PolSAR) images with dual polarization modes have great potential to map forest stock volume (FSV) by excellent penetration capabilities and distinct microwave scattering processes. However, the response of these
Externí odkaz:
https://doaj.org/article/53fabc91385249079d2e6e727b5203c8
Publikováno v:
Remote Sensing, Vol 15, Iss 9, p 2253 (2023)
Unaffected by cloud cover and solar illumination, synthetic aperture radar (SAR) images have great capability to map forest growing stem volume (GSV) in complex biophysical environments. Up to now, c-band dual-polarization Gaofen-3 (GF-3) SAR images,
Externí odkaz:
https://doaj.org/article/acacee6c9be246e9ad10a6c66b343474
Publikováno v:
Remote Sensing, Vol 15, Iss 6, p 1519 (2023)
Unaffected by cloud cover and solar illumination, synthetic aperture radar (SAR) images coupled with quad-polarimetric techniques have significant potential for mapping forest aboveground biomass (AGB) in the mountains of southern China. To improve t
Externí odkaz:
https://doaj.org/article/605700b2bd11415e9080ebb951ef7f73
Publikováno v:
Remote Sensing, Vol 14, Iss 12, p 2754 (2022)
Forest stock volume (FSV) is a basic data source for estimating forest carbon sink. It is also a crucial parameter that reflects the quality of forest resources and forest management level. The use of remote sensing data combined with a support vecto
Externí odkaz:
https://doaj.org/article/61a90efc16234e1ba6bc608ede24f9eb