Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Zhanmang Liao"'
Autor:
Rui Chen, Binbin He, Yanxi Li, Yiru Zhang, Zhanmang Liao, Chunquan Fan, Jianpeng Yin, Hongguo Zhang
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104080- (2024)
Accurate estimation of crown fire potential (CFP) can improve guidance on crown fire control and management. However, robust simulations of crown fire behavior are still challenging, limiting the accuracy of regional-scale CFP mapping. This study aim
Externí odkaz:
https://doaj.org/article/6c106fea042c49c69032c6d8c7c32b17
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 115, Iss , Pp 103088- (2022)
The upcoming BIOMASS mission will provide P-band repeat-pass PolInSAR data from space for the improved mapping of global biomass. PolInSAR technique has been widely validated with the potential to invert forest height and estimate forest aboveground
Externí odkaz:
https://doaj.org/article/1358bf03243d4993aaaa7c6c9f4caeeb
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 110, Iss , Pp 102811- (2022)
Optical data records have been widely used for monitoring forest aboveground biomass (AGB) dynamics given their freely available long-term archives and high temporal and spatial resolution. However, most of the methods utilized only the spatial infor
Externí odkaz:
https://doaj.org/article/f9b6e8f67f1f4619abd3781985629fe4
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 103, Iss , Pp 102483- (2021)
P-band PolInSAR technique has been validated to be a useful tool for forest height inversion. Aiming at the residual ground scattering contribution and temporal decorrelation in repeat-pass interferometry that affect the inversion accuracy, we propos
Externí odkaz:
https://doaj.org/article/5db2846563ac4a85b95d9f5a19dce46a
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 93, Iss , Pp 102209- (2020)
Detailed spatial information on the presence and properties of woody vegetation serves many purposes, including carbon accounting, environmental reporting and land management. Here, we investigated whether machine learning can be used to combine mult
Externí odkaz:
https://doaj.org/article/cd91a00f57b649ce9cb8be1cf9268734
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 88, Iss , Pp 102049- (2020)
Synthetic Aperture Radar (SAR) texture has been demonstrated to have the potential to improve forest biomass estimation using backscatter. However, forests are 3D objects with a vertical structure. The strong penetration of SAR signals means that eac
Externí odkaz:
https://doaj.org/article/1908ac07448d487a8ab555361bf130ff
Publikováno v:
Remote Sensing, Vol 13, Iss 6, p 1189 (2021)
Fuel load is the key factor driving fire ignition, spread and intensity. The current literature reports the light detection and ranging (LiDAR), optical and airborne synthetic aperture radar (SAR) data for fuel load estimation, but the optical and SA
Externí odkaz:
https://doaj.org/article/eb8f180172134c5cba6c7de6817169a3
Publikováno v:
Remote Sensing, Vol 7, Iss 10, Pp 12704-12736 (2015)
Existing drought indices have been widely used to monitor meteorological drought and agricultural drought; however, few of them are focus on drought monitoring for grassland regions. This study presented a new drought index, the Grassland Drought Ind
Externí odkaz:
https://doaj.org/article/a592274e29bc463eb306fc03da5e00d0
Publikováno v:
Remote Sensing, Vol 7, Iss 8, Pp 10917-10937 (2015)
In this study, the Standardized Precipitation Evaporation Index (SPEI) was applied to characterize the drought conditions in Southwest China from 1982–2012. The SPEI was calculated by precipitation and temperature data for various accumulation peri
Externí odkaz:
https://doaj.org/article/3a383f7277f84f9aacd5a0e173a0e783
Autor:
Xiangzhuo Liu, Binbin He, Xingwen Quan, Marta Yebra, Shi Qiu, Changming Yin, Zhanmang Liao, Hongguo Zhang
Publikováno v:
Remote Sensing, Vol 10, Iss 10, p 1654 (2018)
Fire Spread Rate (FSR) can indicate how fast a fire is spreading, which is especially helpful for wildfire rescue and management. Historically, images obtained from sun-orbiting satellites such as Moderate Resolution Imaging Spectroradiometer (MODIS)
Externí odkaz:
https://doaj.org/article/5e88706c65b04b4387ddcdfd253a8c08