A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
Remote sensing-based methods of aboveground biomass (AGB) estimation in forest
ecosystems have gained increased attention, and substantial research has been conducted …
ecosystems have gained increased attention, and substantial research has been conducted …
Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data
The enormous increase of remote sensing data from airborne and space-borne platforms, as
well as ground measurements has directed the attention of scientists towards new and …
well as ground measurements has directed the attention of scientists towards new and …
Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass
Estimates of forest biomass are needed for various technical and scientific applications,
ranging from carbon and bioenergy policies to sustainable forest management. As local …
ranging from carbon and bioenergy policies to sustainable forest management. As local …
Linking Earth Observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives
A Lausch, L Bannehr, M Beckmann, C Boehm… - Ecological …, 2016 - Elsevier
Impacts of human civilization on ecosystems threaten global biodiversity. In a changing
environment, traditional in situ approaches to biodiversity monitoring have made significant …
environment, traditional in situ approaches to biodiversity monitoring have made significant …
Comparative analysis of modeling algorithms for forest aboveground biomass estimation in a subtropical region
Remote sensing–based forest aboveground biomass (AGB) estimation has been
extensively explored in the past three decades, but how to effectively combine different …
extensively explored in the past three decades, but how to effectively combine different …
Modelling aboveground biomass of a multistage managed forest through synergistic use of Landsat-OLI, ALOS-2 L-band SAR and GEDI metrics
To better understand forest carbon budgets and design forest-based climate change
mitigation solutions, reliable biomass estimation is critical. Integrating multi-sensor remote …
mitigation solutions, reliable biomass estimation is critical. Integrating multi-sensor remote …
Application of convolutional neural network on lei bamboo above-ground-biomass (AGB) estimation using Worldview-2
Above-ground biomass (AGB) directly relates to the productivity of forests. Precisely, AGB
mapping for regional forests based on very high resolution (VHR) imagery is widely needed …
mapping for regional forests based on very high resolution (VHR) imagery is widely needed …
Estimating forest aboveground biomass by combining optical and SAR data: a case study in Genhe, Inner Mongolia, China
Z Shao, L Zhang - Sensors, 2016 - mdpi.com
Estimation of forest aboveground biomass is critical for regional carbon policies and
sustainable forest management. Passive optical remote sensing and active microwave …
sustainable forest management. Passive optical remote sensing and active microwave …
Integration of GF2 optical, GF3 SAR, and UAV data for estimating aboveground biomass of China's largest artificially planted mangroves
Accurate methods to estimate the aboveground biomass (AGB) of mangroves are required
to monitor the subtle changes over time and assess their carbon sequestration. The AGB of …
to monitor the subtle changes over time and assess their carbon sequestration. The AGB of …
陆表定量遥感反演方法的发展新动态.
梁顺林， 程洁， 贾坤， 江波， 刘强… - Journal of Remote …, 2016 - search.ebscohost.com
随着获取的遥感数据越来越多, 定量遥感正处于一个飞速发展的时期. 本文从反演方法和遥感
数据产品生成两个主要方面对近期陆表定量遥感的发展进行评述. 由于大气 …
数据产品生成两个主要方面对近期陆表定量遥感的发展进行评述. 由于大气 …