Results 41 to 50 of about 2,290,802 (153)

Analysis of Site-dependent Pinus halepensis Mill. Defoliation Caused by ‘Candidatus Phytoplasma pini’ through Shape Selection in Landsat Time Series

Remote Sensing, 2019
High levels of ‘Candidatus Phytoplasma pini’ have produced extensive forest mortality on Pinus halepensis Mill forests in eastern Spain. This has led to the widespread levels of forest mortality.
Jesus Trujillo-Toro, Rafael M. Navarro-Cerrillo   +1 more
doaj   +1 more source

Estimating the expansion and reduction of agricultural extent in Egypt using Landsat time series

International Journal of Applied Earth Observations and Geoinformation
Increasing population and the consequent rise in the demand for food and water resources pose significant challenges for the future of agriculture in Egypt.
Kelsee H. Bratley, Curtis E. Woodcock
doaj   +1 more source

Remote Sensing Reveals Post‐Fire Forest Composition Shifts in Boreal Eastern Siberia

Global Ecology and Biogeography, Volume 35, Issue 8, August 2026.
ABSTRACT Aim Wildfires are the primary agents of disturbance in boreal forests. Under climate change, their frequency and size are expected to increase, raising concerns about the long‐term boreal forest resilience. Despite the importance and complexity of post‐fire recovery, large‐scale assessments of post‐fire vegetation composition remain limited ...
Oleg Zheleznyy, Cornelius Senf, Julia Boike, Dirk Pflugmacher   +3 more
wiley   +1 more source

Deep Learning for Satellite‐Based Forest Disturbance Monitoring: Recent Advances and Challenges

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
Overview of key research challenges in forest disturbance monitoring, including the detection of disturbances of varying severity, the attribution of disturbance agents, and the development of models capable of generalizing across regions. ABSTRACT Climate change and land use pressures are intensifying forest disturbances in many world regions, as ...
Carolina Natel, Christoph Molnar, Ricardo Dalagnol, Peer Nowack   +3 more
wiley   +1 more source

Rapid Land Surface Uplift and Groundwater Recovery Observed During the Syrian War

Geophysical Research Letters, Volume 53, Issue 7, 16 April 2026.
Abstract Recent geopolitical upheaval in Syria is driving regional growth by returning populations, which increases demands on water resources. In northwest Syria, widespread cropland abandonment during the Syrian War starting in 2011 drastically changed the hydrological regime of the region.
Saeed Mhanna, Landon J. S. Halloran, Yves Tille, Ahmed Haj Asaad, Francois Zwahlen, Philip Brunner   +5 more
wiley   +1 more source

Monitoring Amazon Forests using LandTrendr and MapBiomas: A Case Study from Trincheira Bacajá, Pará (2018–2023) [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The growing pressure on the ecosystems of the Amazon Biorne highlights the need for continuous monitoring of vegetation cover, especially in sensitive areas such as Indigenous lands.
A. P. Cavassim, V. R. A. Almeida, D. Z. Muguio, J. A. S. Centeno   +3 more
doaj   +1 more source

Optimized Parameters for Detecting Multiple Forest Disturbance and Recovery Events and Spatiotemporal Patterns in Fast-Regrowing Southern China

Remote Sensing
The timing, location, intensity, and drivers of forest disturbance and recovery are crucial for developing effective management strategies and policies for forest conservation and ecosystem resilience.
Yuwei Tu, Kaiping Liao, Yuxuan Chen, Hongbo Jiao, Guangsheng Chen   +4 more
doaj   +1 more source

Advancing Sustainable Operational Efficiency in the Mining Industry: Trends, Innovations, Frameworks, and Future Research Directions

Sustainable Development, Volume 34, Issue S1, Page 736-757, January 2026.
ABSTRACT This review highlights the urgent need for sustainable operational efficiency (SOE) in the mining industry (MI) as it confronts escalating environmental, social, and economic pressures. Although considerable progress has been achieved in areas such as life cycle assessment, renewable energy integration, and data‐driven decision‐making ...
A. Akofa Amegboleza, M. Ali Ülkü
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

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