Results 61 to 70 of about 358 (155)

Temporal and Phenological Modulation of the Impact of Increasing Drought Conditions on Vegetation Growth in a Humid Big River Basin: Insights From Global Comparisons

Earth's Future, Volume 13, Issue 3, March 2025.
Abstract As the upward trend in extreme drought continues with climate change, terrestrial vegetation growth is assumed to become largely reduced. We investigated anomalies of remote sensing vegetation indexes under droughts across the upper Yangtze River (UYR) basin, characterized as humid but having experienced frequent seasonal droughts from 2000 ...
Junlan Xiao, César Terrer, Pierre Gentine, Ryunosuke Tateno, Lei Fan, Mingguo Ma, Yuemin Yue, Wenping Yuan, Josep Peñuelas, Weiyu Shi   +9 more
wiley   +1 more source

Monitoring Mining Disturbance and Restoration over RBM Site in South Africa Using LandTrendr Algorithm and Landsat Data [PDF]

Sustainability, 2019
Considering the negative impact of mining on ecosystems in mining areas, the South African government legislated the Mineral and Petroleum Resources Development Act (No. 28 of 2002), to compel mining companies to restore the land affected by mining.
Lubanzi Z. D. Dlamini, Sifiso Xulu
openaire   +1 more source

The Potential Use of a Land Trend Algorithm for Regional Landslide Mapping in Indonesia

Applied Sciences
Indonesia is among the most landslide-prone countries in the world, with thousands of fatalities and widespread infrastructure damage recorded over recent decades. Despite this high hazard level, regional-scale landslide monitoring remains constrained by
Tubagus Nur Rahmat Putra, Muhammad Aufaristama, Khaled Ahmed, Mochamad Candra Wirawan Arief, Rahmihafiza Hanafi, Bambang Wijatmoko, Irwan Ary Dharmawan   +6 more
doaj   +1 more source

Temperate forests of high conservation value are successfully identified by satellite and LiDAR data fusion

Conservation Science and Practice, Volume 7, Issue 2, February 2025.
Forests will play a key role in meeting biodiversity targets. We show that satellite and LiDAR data fusion can predict potential forest conservation value with high accuracy (82%) across Denmark. Abstract Forest ecosystems will play a critical role in achieving policy targets for biodiversity and conservation, such as those set out in the EU ...
Jakob J. Assmann, Pil B. M. Pedersen, Jesper E. Moeslund, Cornelius Senf, Urs A. Treier, Derek Corcoran, Zsófia Koma, Thomas Nord‐Larsen, Signe Normand   +8 more
wiley   +1 more source

Topographic effects amplify forest disturbances detected by yearly wide-time-window Landsat time series

GIScience & Remote Sensing, 2023
Widespread topographic effects in remote sensing images of mountainous regions with rugged terrain severely hinder satellite-based global land surface monitoring and change detection. However, topographic effects in Landsat time series (LTSs) disturbance
Zhenzi Wu, Yating Li, Xiao Xu, Hui Fan
doaj   +1 more source

Evidence of Ecosystem Tipping Point on St. Lawrence Island: Widespread Lake Drainage Events After 2018

Geophysical Research Letters, Volume 51, Issue 15, 16 August 2024.
Abstract Influenced by climate change, numerous lakes in permafrost regions are draining, showing significant spatial variability. This study focuses on St. Lawrence Island, where over the last two decades, 771 of 3,271 lakes have drained—a rate around 40 times higher than across the entire northern permafrost region.
Aobo Liu, Xiao Cheng, Chengxin Wang, Yating Chen   +3 more
wiley   +1 more source

Extending Canadian forest disturbance history maps prior to 1985

Ecosphere, Volume 15, Issue 8, August 2024.
Abstract An accurate depiction of wildfire, harvesting, and insect outbreak disturbances is essential for sustainable ecosystem management of forests in Canada. Even though the advent of temporally consistent 30‐m resolution Landsat data has enabled the detailed mapping of forest disturbances in Canada from 1985 onward, the disturbance record prior to ...
David L. P. Correia, Luc Guindon, Marc‐André Parisien   +2 more
wiley   +1 more source

Identification and Restoration of Forest Degradation Areas in Shaanxi Province Based on the LandTrendr Algorithm

Sustainability
As an important ecological barrier in Northwest China, the health of forest ecosystems in Shaanxi Province is crucial to regional ecological balance and sustainable development. However, forest degradation has become increasingly prominent in recent years due to both natural and anthropogenic pressures.
Qianqian Tian, Bingshu Zhao, Chenyu Xu, Han Wang, Siwei Chen, Xuhui Wang   +5 more
openaire   +1 more source

Assessing experimental silvicultural treatments enhancing structural complexity in a central European forest – BEAST time‐series analysis based on Sentinel‐1 and Sentinel‐2

Remote Sensing in Ecology and Conservation, Volume 10, Issue 4, Page 531-550, August 2024.
Monitoring forest structure complexity is essential to ensure forest resilience due to increasing pressures of global warming, biodiversity loss and disturbances. Spaceborne remote sensing time‐series enable continuous monitoring of forest conditions and are integrated in the present study for the assessment of various deadwood structures and light ...
Patrick Kacic, Ursula Gessner, Stefanie Holzwarth, Frank Thonfeld, Claudia Kuenzer   +4 more
wiley   +1 more source

Exploring the Restoration Stability of Abandoned Open-Pit Mines by Vegetation Resilience Indicator Based on Landtrendr Algorithm

Ecological Indicators
Open-pit mining causes serious damage to the ground surface and vegetation. Remote sensing technology helps assess and monitor the effectiveness of ecological restoration in abandoned open-pit mines, offering vital information for exploring the ecosystem recovery process.
Jingyi Xie, Yunxuan Liu, Miaomiao Xie, Le Xia, Ruojun Yang, Jingao Li   +5 more
openaire   +2 more sources