Results 21 to 30 of about 2,290,802 (153)

Sub-Annual Scale LandTrendr: Sub-Annual Scale Deforestation Detection Algorithm Using Multi-Source Time Series Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
In cloudy and rainy regions, frequent cloud cover limits clear data obtained using a single optical sensor, posing a substantial challenge for detecting deforestation events on subannual scale.
Baowen Yang, Ling Wu, Zhengshan Ju, Xiangnan Liu, Meiling Liu, Tingwei Zhang, Yuqi Xu   +6 more
doaj   +3 more sources

Incorporation of historical disturbance identified with landtrendr algorithm for land cover mapping In Malaysia [PDF]

In Malaysia, land area under oil palm plantation has been increasing. Meanwhile voluntary measures to improve sustainability of palm oil production have been introduced including regulation of land conversion to oil palm plantations. The objective of this project is to assess the utility of Google Earth Engine with the LandTrendr algorithm for ...
Platt, Daniel Stephen
core   +4 more sources

Monitoring Mangrove Forests Responses to Kaolin Pollution Using LandTrendr Time-Series Analysis

Remote Sensing
Chronic coastal pollution can drive progressive mangrove degradation, yet its spatiotemporal trajectories and post-disturbance recovery remain poorly quantified from satellite observations.
Rong Zhang, Haoyu Wen, Xin Wen, Yue Zhang, Mingming Jia, Chuanpeng Zhao, Lina Cheng, Zongming Wang   +7 more
doaj   +2 more sources

Long-term vegetation changes in elephant-related areas of concern in Kruger National Park, South Africa. [PDF]

Ecol Appl
Abstract African elephants, whether alone or in combination with other environmental factors such as floods, droughts, fire, and other herbivores, have significant impacts on large savanna trees, often contributing to declines over time. However, their effects on woody vegetation in general remain less well understood.
Coetsee C, Kleyn L, Vogeler JC, Filippelli SK, Vermeulen LM, Wigley BJ, Ferreira S.   +6 more
europepmc   +2 more sources

Dynamic monitoring of urban built-up object expansion trajectories in Karachi, Pakistan with time series images and the LandTrendr algorithm. [PDF]

Sci Rep, 2021
AbstractIn the complex process of urbanization, retrieving its dynamic expansion trajectories with an efficient method is challenging, especially for urban regions that are not clearly distinguished from the surroundings in arid regions. In this study, we propose a framework for extracting spatiotemporal change information on urban disturbances. First,
Yan X, Wang J.
europepmc   +5 more sources

Monitoring Ecological Changes on a Rapidly Urbanizing Island Using a Remote Sensing-Based Ecological Index Produced Time Series

Remote Sensing, 2022
Island ecosystems are susceptible to the considerable impacts of increasing human activities, landscape reconstruction, and urban expansion, resulting in changes in the ecological environment and urban ecological security issues.
Lili Lin, Zhenbang Hao, Christopher J. Post, Elena A. Mikhailova   +3 more
doaj   +1 more source

Mapping Annual Global Forest Gain From 1983 to 2021 With Landsat Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
The world's forests are experiencing rapid changes due to land use and climate change. However, a detailed map of global forest gain at fine spatial and temporal resolutions is still missing.
Zhenrong Du, Le Yu, Jianyu Yang, David Coomes, Kasturi Kanniah, Haohuan Fu, Peng Gong   +6 more
doaj   +1 more source

A LandTrendr Algorithm-Based Study of Forest Disturbance from 2000 to 2020 in Jilin Province, China

Polish Journal of Environmental Studies, 2022
Forest resources are of great importance for achieving human sustainable development and carbon neutrality goals. Therefore, this study evaluated forest disturbance in Jilin Province, China, from 2000 to 2020 using the LandTrendr algorithm. The results of the study showed that the overall area of forest disturbance was 448.76 km2 in Jilin Province ...
Wei Wang, Linye Zhu, Lingling Li, Xiurong Xue, Yongyu Feng, Huaqiao Xing   +5 more
openaire   +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

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