[HTML][HTML] Estimation of aboveground carbon density of forests using deep learning and multisource remote sensing
Forests are crucial in carbon sequestration and oxygen release. An accurate assessment of
forest carbon storage is meaningful for Chinese cities to achieve carbon peak and carbon …
forest carbon storage is meaningful for Chinese cities to achieve carbon peak and carbon …
[HTML][HTML] Estimation of Above-Ground Biomass for Pinus densata Using Multi-Source Time Series in Shangri-La Considering Seasonal Effects
C Chen, Y He, J Zhang, D Xu, D Han, Y Liao, L Luo… - Forests, 2023 - mdpi.com
Forest above-ground biomass (AGB) is the basis of terrestrial carbon storage estimation,
and making full use of the seasonal characteristics of remote sensing imagery can improve …
and making full use of the seasonal characteristics of remote sensing imagery can improve …
[HTML][HTML] Forest Canopy Cover Inversion Exploration Using Multi-Source Optical Data and Combined Methods
Y Guan, X Tian, W Zhang, A Marino, J Huang, Y Mao… - Forests, 2023 - mdpi.com
An accurate estimation of canopy cover can provide an important basis for forest ecological
management by understanding the forest status and change patterns. The aim of this paper …
management by understanding the forest status and change patterns. The aim of this paper …
[HTML][HTML] Mapping spatiotemporal changes in forest type and aboveground biomass from landsat long-term time-series analysis—a case study from Yaoluoping …
B Yang, Y Zhang, X Mao, Y Lv, F Shi, M Li - Remote Sensing, 2022 - mdpi.com
A natural reserve's forest is an important base for promoting natural education, scientific
research, biodiversity conservation and carbon accounting. Dynamic monitoring of the forest …
research, biodiversity conservation and carbon accounting. Dynamic monitoring of the forest …
[HTML][HTML] Forest Aboveground Biomass Estimation Using Multisource Remote Sensing Data and Deep Learning Algorithms: A Case Study over Hangzhou Area in …
X Tian, J Li, F Zhang, H Zhang, M Jiang - Remote Sensing, 2024 - mdpi.com
The accurate estimation of forest aboveground biomass is of great significance for forest
management and carbon balance monitoring. Remote sensing instruments have been …
management and carbon balance monitoring. Remote sensing instruments have been …
基于极化定向角补偿的思茅松林地上生物量反演
张国飞， 岳彩荣， 罗洪斌， 谷雷… - … 林业大学学报(自然科学版), 2021 - nldxb.njfu.edu.cn
目的极化合成孔径雷达在森林遥感监测中得到了广泛的应用. 由于法拉第旋转和地物结构特性,
电磁波极化定向角发生偏移, 导致散射特征在机理上存在模糊性. 本研究主要分析极化定向角偏 …
电磁波极化定向角发生偏移, 导致散射特征在机理上存在模糊性. 本研究主要分析极化定向角偏 …
Based polarization orientation angle compensation for Pinus kesiya var. langbianensis forest aboveground biomass estimation
G ZHANG, C YUE, H LUO, L Gu… - JOURNAL OF NANJING …, 2021 - nldxb.njfu.edu.cn
[Objective] Polarimetric synthetic aperture radars have been widely used in forest remote
sensing monitoring. Owing to Faraday rotation, the polarization orientation angle (POA) of …
sensing monitoring. Owing to Faraday rotation, the polarization orientation angle (POA) of …