Results 61 to 70 of about 763 (163)

Spatio‐Temporal Dynamics of Invasive Spartina Alterniflora and Its Functional Traits' Responding to Hydro‐Meteorology

Earth's Future, Volume 13, Issue 6, June 2025.
Abstract Coastal wetlands represent one of the most critical ecosystem types worldwide, and offer a diverse array of vital ecosystem services. Large‐scale and rapid invasion of Spartina alterniflora (S. alterniflora) has imposed significant impacts on coastal wetland ecosystems and biodiversity globally. Tracking dynamic trajectories of S. alterniflora
Bolin Fu, Bingyan Yuan, Hang Yao, Weiwei Sun, Mingming Jia, Zuofang Yao, Yeqiao Wang   +6 more
wiley   +1 more source

Natural Forest Restoration Potential to Mitigate Climate Change in China

Earth's Future, Volume 13, Issue 6, June 2025.
Abstract China has achieved remarkable progress in forest conservation and restoration through extensive management efforts, including afforestation and the protection of natural forests. However, previous studies on forest carbon potential have primarily foucused on afforestation, while natural forest restoration‐recognized for its superior carbon ...
Kai Cheng, Yixuan Zhang, Yu Ren, Ang Chen, Tianyu Xiang, Zhiyong Qi, Guoran Huang, Haitao Yang, Yuling Chen, Zekun Yang, Jiachen Xu, Mengxi Chen, Guangcai Xu, Qinghua Guo   +13 more
wiley   +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

Land Use Change Forcing Data Undermine the Modeling of China's Greening Efforts

Geophysical Research Letters, Volume 52, Issue 5, 16 March 2025.
Abstract China has made extensive afforestation efforts over the past 40 years. However, ecosystem models simulate only modest vegetation enhancement, creating a significant disparity between documented reforestation efforts and model‐based simulations. This fundamental mismatch remains largely unexplored.
Ziyu Wang, Weiqing Zhao, Sen Cao, Pengjun Zhao, Yuhang Luo, Dajing Li, Ziyun Sun, Zaichun Zhu   +7 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

Monitoring Abandoned Cropland in Fragmented Mountainous Landscapes Based on the ML-LandTrendr Framework

Remote Sensing
Cropland abandonment is increasing in the upper and middle Yangtze River Basin due to complex terrain, urbanization, and labor migration. This threatens regional food security. To address the challenge of monitoring abandonment in fragmented hilly areas, we developed a framework. We integrated machine learning with time-series analysis.
Ying Wang, Zhongyuan Xie, Huaiyong Shao, Jichong Han, Xiaofei Sun, Long Ling, Jiamei Long, Ying Lin, Liangliang Zhang   +8 more
openaire   +1 more source

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

A New Method for Automated Clearcut Disturbance Detection in Mediterranean Coppice Forests Using Landsat Time Series

Remote Sensing, 2020
A Landsat time series has been recognized as a viable source of information for monitoring and assessing forest disturbances and for continuous reporting on forest dynamics. This study focused on developing automated procedures for detecting disturbances
Francesca Giannetti, Raffaello Pegna, Saverio Francini, Ronald E. McRoberts, Davide Travaglini, Marco Marchetti, Giuseppe Scarascia Mugnozza, Gherardo Chirici   +7 more
doaj   +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

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