Remotely sensed images with low resolution can be effectively used for the large-area
monitoring of vegetation restoration, but are unsuitable for accurate small-area monitoring …

Airborne LiDAR is increasingly used in forest carbon, ecosystem, and resource monitoring.
For practical design and manufacture reasons, the 1064 nm near-infrared (NIR) wavelength …

Species classification and identification is the basis of biodiversity monitoring, and is critical
to deal with almost all ecological questions. In this paper, we aim to understand the current …

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 …

Landsat-8 OLI and Sentinel-2 MSI images from years 2015 and 2016, a 1: 10,000 digital soil
map and a large number of reference samples were used with a random forest machine …

物种分类与识别是生物多样性监测的基础, 明确物种的类别及其分布是解决几乎所有生态学问题
的前提. 为深入了解基于多源遥感数据的植物物种分类与识别相关研究的发展现状和存在的问题 …

Tree diseases contribute to the reduction of forest areas over the years and early detection
of these diseases is essential to prevent its rapid spread and eventually provide immediate …

The Brazilian Atlantic Forest is a global biodiversity hotspot and has been extensively
mapped using satellite remote sensing. However, past mapping focused on overall forest …

In this study, the Japanese Oak and Pine Wilt in forested areas of Japan was classified into
two group as diseased trees and all other land cover area according to the 6 attributes in the …

Observing landscape patterns at various temporal and spatial scales is central to classifying
and mapping ecosystems. Traditionally, ecosystem mapping is undertaken through a …