Results 71 to 80 of about 358 (155)

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

Spatio‐Temporal Dynamics of Aboveground Biomass in China's Oasis Grasslands Between 1989 and 2021

Earth's Future, Volume 12, Issue 3, March 2024.
Abstract Grassland provides multiple ecosystem services and plays a key role in preventing desert encroachment and maintaining oasis stability. In China, the area of cropland in oases has expanded significantly in recent decades, which results in a rapid increase in agricultural water demand and encroachment on grassland subsistence space. However, our
Peng Chen, Shuai Wang, Yanxu Liu, Yijia Wang, Jiaxi Song, Qiang Tang, Ying Yao, Yaping Wang, Xutong Wu, Fangli Wei, Siyuan Feng   +10 more
wiley   +1 more source

Host and floral communities shape parasite prevalence and reproduction in intensively managed forests

Ecosphere, Volume 15, Issue 1, January 2024.
Abstract Understanding how working landscapes can maintain viable wildlife populations is key to evaluating their conservation potential. We assessed the potential of intensively managed conifer forests for supporting healthy, productive bee populations in one of the major timber‐growing regions of the world, the Pacific Northwest.
Lauren C. Ponisio, Hamutahl Cohen, Sara M. Galbraith, Jocelyn Zorn, Rachel A. Zitomer, James W. Rivers   +5 more
wiley   +1 more source

Improving forest loss mapping in Nepal using LandTrendr time-series and machine learning

Remote Sensing Applications: Society and Environment
Peer ...
Sakar Dhakal, Kamal Raj Aryal, Uttam Babu Shrestha, Hari Adhikari   +3 more
openaire   +2 more sources

Historical Mangrove Changes on Bangka Island Derived from Thirty Years of Landsat Data

Remote Sensing
Bangka’s mangroves contribute to Indonesia’s species-rich coastal ecosystems, yet they have experienced substantial degradation, largely driven by human activities such as tin mining.
Suci Puspita Sari, Nico Koedam, Tom Van der Stocken, Frieke Van Coillie   +3 more
doaj   +1 more source

Using LandTrendr to analyze forest disturbance, recovery, and attribution in Hunan province from 2001 to 2024

Ecological Indicators
Forest dynamics monitoring is an important basis for assessing the stability of regional ecosystems and formulating sustainable management strategies, and forest evolution patterns under the interaction of frequent human activities and natural disturbances in subtropical regions have not been fully revealed.
Panlin Cao, Zhuo Zang, Meng Zhang, Xu Wang, Xian Tang, Jiahong Xiang, Shu Tang, Jing Wang, Yanan Zhang   +8 more
openaire   +2 more sources

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

Interannual Monitoring of Cropland in South China from 1991 to 2020 Based on the Combination of Deep Learning and the LandTrendr Algorithm

Remote Sensing
Timely and accurate acquisition of spatial distribution and changes in cropland is of significant importance for food security and ecological preservation. Most studies that monitor long-term changes in cropland tend to overlook the rationality in the process of cropland evolution, and there are conflicts between the interannual cropland data, so they ...
Yue Qu, Boyu Zhang, Han Xu 0005, Zhi Qiao 0002, Luo Liu   +4 more
openaire   +2 more sources

Detecting the dynamics of vegetation disturbance and recovery in surface mining area via Landsat imagery and LandTrendr algorithm

Journal of Cleaner Production, 2018
The vegetation cover dynamics such as the spatial extent and pattern of disturbance and recovery are necessary information in mining regulation and environmental sustainability assessment. The acquisition and further analysis of these dynamics are hampered due to that the vegetation cover in mining area changes both spatially and temporally. This paper
Yongjun Yang, Peter D. Erskine, Alex Lechner, David Mulligan, Shaoliang Zhang, Zhenyu Wang   +5 more
openaire   +5 more sources

Long-term assessment of historical disturbances in the dry land ecosystems of Mutis Timau Nature Reserve, East Nusa Tenggara, Indonesia

Forest Science and Technology
Long-term assessment using historical satellite imagery is critical for gaining meta-information and identifying trends in land cover change. Informed policymaking about this assessment ensures forest sustainability and mitigates climate change to ...
Adhe Viana Yulida Putri, Wahyu Wardhana, Ronggo Sadono   +2 more
doaj   +1 more source