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You searched for: Author "He, Binbin" Remove constraint Author: "He, Binbin" Journal International journal of remote sensing Remove constraint Journal: International journal of remote sensing Text Availability Citation in PubAg Remove constraint Text Availability: Citation in PubAg
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1. Chlorophyll content estimation in arid grasslands from Landsat-8 OLI data

Author:
He, Binbin,   et al.   ; Yin, Changming; Quan, Xingwen; Liao, Zhanmang;     Show all 4 Authors
Source:
International journal of remote sensing 2016 v.37 no.3 pp. 615-632
ISSN:
1366-5901
Subject:
canopy; chlorophyll; grasslands; leaves; models; radiative transfer; remote sensing; soil; vegetation index
Abstract:
... In this study, an arid grassland was selected, and the chlorophyll content of the leaf and canopy level was estimated based on Landsat-8 Operational Land Imager (OLI) data using the PROSAIL radiative transfer (RT) model. Two vegetation indices (green chlorophyll index, CI gᵣₑₑₙ, and greenness index, G) were selected to estimate the leaf and canopy chlorophyll content (LCC and CCC). By analysing th ...
DOI:
10.1080/01431161.2015.1131867

2. Potential of Dubois model for soil moisture retrieval in prairie areas using SAR and optical data

Author:
He, Binbin,   et al.   ; Bai, Xiaojing;     Show all 2 Author
Source:
International journal of remote sensing 2015 v.36 no.22 pp. 5737-5753
ISSN:
1366-5901
Subject:
correlation; leaf area index; models; normalized difference vegetation index; prairies; remote sensing; soil water; surface roughness; synthetic aperture radar; water content; China
Abstract:
... Soil moisture retrieval is often confounded by the influence of vegetation and surface roughness on the backscattered radar signal in vegetated areas. In this study, a semi-empirical methodology is proposed to retrieve soil moisture in prairie areas. The effect of vegetation is eliminated by the ratio vegetation method and water cloud model (WCM), respectively. The conditions of vegetation are cha ...
DOI:
10.1080/01431161.2015.1103920