搜索结果: 1-6 共查到“森林经理学 Sentinel-1”相关记录6条 . 查询时间(0.052 秒)
Optimal Input Features for Tree Species Classification in Central Europe Based on Multi-Temporal Sentinel-2 Data
tree species classification Sentinel-2 multi-temporal Wienerwald biosphere reserve
<
2024/1/23
Detailed knowledge about tree species composition is of great importance for?forest?management. The two identical European Space Agency (ESA) Sentinel-2 (S2) satellites provide data with unprecedented...
Estimating aboveground biomass of the mangrove forests on northeast Hainan Island in China using an upscaling method from field plots, UAV-LiDAR data and Sentinel-2 imagery
Mangroves Aboveground biomass UAV-LiDAR Sentinel-2 Random forest
<
2024/1/23
The mangrove forests of northeast Hainan Island are the most species diverse forests in China and consist of the Dongzhai National Nature Reserve and the Qinglan Provincial Nature Reserve. The former ...
Modelling above-ground biomass stock over Norway using national forest inventory data with ArcticDEM and Sentinel-2 data
Space-borne imagery Stereogrammetry Boreal forest structure Biomass mapping Open data
<
2024/1/22
Boreal forests constitute a large portion of the global forest area, yet they are undersampled through field surveys, and only a few remotely sensed data sources provide structural information wall-to...
Analysis of Regional Distribution of Tree Species Using Multi-Seasonal Sentinel-1&2 Imagery within Google Earth Engine
multisensor tree species large areas cloud-computing machine learning
<
2023/12/6
Accurate information on tree species is in high demand for forestry management and further investigations on biodiversity and environmental monitoring. Over regional or large areas, distinguishing tre...
The Utility of Sentinel-2 Spectral Data in Quantifying Above-Ground Carbon Stock in an Urban Reforested Landscape
reforestation ecosystem services carbon stock random forest
<
2023/12/5
The transformation of the natural landscape into an impervious surface due to urbanization has often been considered an important driver of environmental change, affecting essential urban ecological p...
Potential of Convolutional Neural Networks for Forest Mapping Using Sentinel-1 Interferometric Short Time Series
Synthetic Aperture Radar Sentinel-1 forest mapping deforestation monitoring deep learning convolutional neural networks
<
2023/12/1
The monitoring of land cover and land use patterns is pivotal in the joint effort to fight deforestation in the Amazon and study its relation to climate change effects with respect to anthropogenic ac...