Detecting selective logging in tropical forests with optical satellite data: an experiment in Peru shows texture at 3 m gives the best results

C Aquino, ETA Mitchard, IM McNicol… - Remote Sensing in …, 2024‏ - Wiley Online Library
Selective logging is known to be widespread in the tropics, but is currently very poorly
mapped, in part because there is little quantitative data on which satellite sensor …

Reliably map** low-intensity forest disturbance using satellite radar data

C Aquino, ETA Mitchard, IM McNicol… - Frontiers in Forests …, 2022‏ - frontiersin.org
In the last decades tropical forests have experienced increased fragmentation due to a
global growing demand for agricultural and forest commodities. Satellite remote sensing …

[HTML][HTML] 雷达影像地表形变干涉测量的机遇, 挑战与展望

**振洪, 朱武, 余琛, 张勤, 张成龙, 刘振江, 张雪松… - 2022‏ - xb.chinasmp.com
随着合成孔径雷达(SAR) 卫星的不断发射, 合成孔径雷达干涉测量技术(interferometric synthetic
aperture radar, InSAR) 得到前所未有的发展机遇, 同时也面临诸多挑战. 本文首先简要介绍了 …

Detecting deforestation using logistic analysis and sentinel-1 multitemporal backscatter data

A Dascălu, J Catalão, A Navarro - Remote Sensing, 2023‏ - mdpi.com
This paper presents a new approach for detecting deforestation using Sentinel-1 C-band
backscattering data. It is based on the temporal analysis of the backscatter intensity and its …

Sentinel-1 shadows used to quantify canopy loss from selective logging in Gabon

H Carstairs, ETA Mitchard, I McNicol, C Aquino… - Remote Sensing, 2022‏ - mdpi.com
Selective logging is a major cause of forest degradation in the tropics, but its precise scale,
location and timing are not known as wide-area, automated remote sensing methods are not …

[HTML][HTML] 影像大地测量学发展现状与趋势

**振洪, 朱武, 余琛, 张勤, 杨元喜 - 2023‏ - xb.chinasmp.com
随着遥感卫星系统的逐渐增多, 影像为研究地球形状和大小等大地测量参数提供了更高精度,
更高分辨率的数据支持, 推动了大地测量学科的发展, 也衍生出影像大地测量学(Imaging …

Estimating forest above-ground biomass in central Amazonia using polarimetric attributes of ALOS/PALSAR images

IS Narvaes, JR Santos, PC Bispo, PMA Graça… - Forests, 2023‏ - mdpi.com
Polarimetric synthetic aperture radar (SAR) images are essential to understand forest
structure and plan forest inventories with the purpose of natural resource management and …

[HTML][HTML] Wildfire threshold detection and progression monitoring using an improved radar vegetation index in California

D Horton, JT Johnson, I Baris, T Jagdhuber, R Bindlish… - Remote Sensing, 2024‏ - mdpi.com
To address the recent increase in wildfire severity and incidence, as well as the subsequent
financial and physical costs, forest managers and wildland firefighting agencies rely on …

Multi-temporal grass hyperspectral classification via full pixel decomposition spectral manifold projection and boosting active learning model

X Zhao, S Zhang, W Yan, X Pan - International Journal of Remote …, 2023‏ - Taylor & Francis
Grassland detection is essential for sustainable development, particularly in ecological and
animal husbandry. Hyperspectral can retrieve the functional characteristics of vegetation …

[PDF][PDF] Estimating Forest Above-Ground Biomass in Central Amazonia Using Polarimetric Attributes of ALOS/PALSAR Images. Forests 2023, 14, 941

IS Narvaes, JR Santos, PC Bispo, PMA Graça… - 2023‏ - academia.edu
Polarimetric synthetic aperture radar (SAR) images are essential to understand forest
structure and plan forest inventories with the purpose of natural resource management and …