Results 21 to 30 of about 358 (155)

Long-Term Monitoring of Cropland Change near Dongting Lake, China, Using the LandTrendr Algorithm with Landsat Imagery [PDF]

Remote Sensing, 2019
Tracking cropland change and its spatiotemporal characteristics can provide a scientific basis for assessments of ecological restoration in reclamation areas. In 1998, an ecological restoration project (Converting Farmland to Lake) was launched in Dongting Lake, China, in which original lake areas reclaimed for cropland were converted back to lake or ...
Ling Wu, Yibo Tang, Yuanyuan Meng
exaly   +3 more sources

Tropical Forest Disturbance Monitoring Based on Multi-Source Time Series Satellite Images and the LandTrendr Algorithm

Forests, 2022
Monitoring disturbances in tropical forests is important for assessing disturbance-related greenhouse gas emissions and the ability of forests to sequester carbon, and for formulating strategies for sustainable forest management. Thanks to a long-term observation history, large spatial coverage, and support from powerful cloud platforms such as Google ...
Xiong Yin, Weili Kou, Ting Yun
exaly   +2 more sources

Improving Urban Forest Expansion Detection with LandTrendr and Machine Learning

Forests
Annual urban forest expansion dynamics are crucial for assessing the benefits and potential issues associated with vegetation accumulation over time. LandTrendr (Landsat-Based Detection of Trends in Disturbance and Recovery) can efficiently detect the dynamics of interannual land cover change, but it has difficulty distinguishing urban forest expansion
Zhe Liu, Yaru Zhang, Xi Zheng
exaly   +2 more sources

Evaluating the Multidimensional Stability of Regional Ecosystems Using the LandTrendr Algorithm

Remote Sensing
Stability is a key characteristic for understanding ecosystem processes and evolution. However, research on the stability of complex ecosystems often faces limitations, such as reliance on single parameters and insufficient representation of continuous changes.
Lijuan Li, Wu Jin, Zhu Xiaoqian
exaly   +3 more sources

Extraction of Building Construction Time Using the LandTrendr Model With Monthly Landsat Time Series Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Extracting building construction time is crucial for effective land resource management and sustainable urban development, particularly in fast-growing urban areas.
Tengyun Hu, Meng Zhang, Xuecao Li, Tinghai Wu, Qiwei Ma, Jianneng Xiao, Xieqin Huang, Jinchen Guo, Yangchun Li, Donglie Liu   +9 more
doaj   +2 more sources

Object-based change detection for vegetation disturbance and recovery using Landsat time series

GIScience & Remote Sensing, 2022
Accurate characterization of historical trends in vegetation change at the landscape scale is necessary for resource management and ecological assessment. Vegetation disturbance and recovery are coherent spatial and temporal processes. Pixel-based change
Zheng Wang, Caiyong Wei, Xiangnan Liu, Lihong Zhu, Qin Yang, Qinyu Wang, Qian Zhang, Yuanyuan Meng   +7 more
doaj   +1 more source

Spatial-temporal dynamics of transboundary forest disturbance-recovery and its influencing factors in the central Himalayas

Geocarto International, 2023
Transboundary forests in the Himalayas are one of the world’s biodiversity hotspots, but exploring the patterns and influencing factors related to forest disturbance-recovery is still limited.
Bohao Cui, Yili Zhang, Linshan Liu, Changjun Gu, Zhaofeng Wang, Bo Wei, Dianqing Gong   +6 more
doaj   +1 more source

Historical trends of degradation, loss, and recovery in the tropical forest reserves of Ghana

International Journal of Digital Earth, 2022
The Upper Guinean Forest region of West Africa, a globally significant biodiversity hotspot, is among the driest and most human-impacted tropical ecosystems.
Michael C. Wimberly, Francis K. Dwomoh, Izaya Numata, Foster Mensah, Jacob Amoako, Dawn M. Nekorchuk, Andrea McMahon   +6 more
doaj   +1 more source

Mapping Forest Abrupt Disturbance Events in Southeastern China—Comparisons and Tradeoffs of Landsat Time Series Analysis Algorithms

Remote Sensing, 2023
Forest change monitoring is a fundamental and routine task for forest survey and planning departments, and the resulting forest change information acts as an underlying asset for sustainable forest management strategy development, ecological quality ...
Ning Ding, Mingshi Li
doaj   +1 more source

An Approach Integrating Multi-Source Data with LandTrendr Algorithm for Refining Forest Recovery Detection

Remote Sensing, 2023
Disturbances to forests are getting worse with climate change and urbanization. Assessing the functionality of forest ecosystems is challenging because it requires not only a large amount of input data but also comprehensive estimation indicator methods. The object of the evaluation index of forest ecosystem restoration relies on the ecosystem function
Mei Li, Shudi Zuo, Ying Su, Xiaoman Zheng, Weibing Wang, Kaichao Chen, Yin Ren   +6 more
openaire   +2 more sources