Results 151 to 160 of about 763 (163)
Some of the next articles are maybe not open access.

Predicting live and dead basal area from LandTrendr variables in beetle-affected forests

MultiTemp 2013: 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, 2013
Recent bark beetle outbreaks in western North America have been widespread and severe. Forest managers need accurate information on beetle-induced tree mortality to make better decisions on how best to remediate beetle-killed forests and restore healthy ecosystem services.
Andrew Thomas Hudak   +2 more
openaire   +1 more source

Reconstructing the Vegetation Disturbance History of a Biodiversity Hotspot in Central Chile Using Landsat, Bfast and Landtrendr

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Due to its isolated location, Chile's flora is characterized by a large number of endemic species which has guided the decision to assign central Chile the status of a global biodiversity hotspot. This biodiversity hotspot is, however, endangered by severe land-use changes occurring over the last few decades as well as by an increased number of ...
Julian Cabezas, Fabian Ewald Fassnacht
openaire   +2 more sources

Using Historical Disturbance Identified with LandTrendr in Google Earth Engine for Land Cover Mapping of Oil Palm Landscapes

2022
In Malaysia, land under oil palm plantation has been steadily 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 study is to assess the utility of Google Earth Engine with the LandTrendr algorithm for ...
Platt, Daniel   +8 more
openaire   +2 more sources

Mapping planted forest age using LandTrendr algorithm and Landsat 5–8 on the Loess Plateau, China

Agricultural and Forest Meteorology
Chunhua Zhang   +2 more
exaly   +2 more sources

Identifying land cover change trajectories in Xilinhot, Inner Mongolia using the LandTrendr segmentation algorithm

2021
Current modeling of land use and land cover of rangelands is limited by shortcomings in the ontological and methodological approaches to classification. For example, current classification schemes often limit rangeland cover types into one of a small number of categories; typically, grassland, shrubland, or barren.
openaire   +1 more source

Detecting disturbance and recovery in mining landscapes: A novel time-series framework based on improved LandTrendr and machine learning

Environmental Research
Mining production has driven human development but has also led to sustained ecological damage. Vegetation serves as a critical carrier and indicator of ecosystem conditions in resource-extraction zones. Therefore, monitoring vegetation sustainability in such regions is crucial for both environmental conservation and regional growth.
Jiawei, Hui, Yongsheng, Cheng
openaire   +2 more sources

Mapping annual dynamics of surface mining disturbances in the northeastern Tibetan Plateau using Landsat imagery and LandTrendr algorithm

Environmental Monitoring and Assessment
The exploitation and utilization of coal resources have significantly contributed to global energy security. However, this mining activity has inflicted considerable damage on the ecological environment, particularly on the Tibetan Plateau, where the impact on ecosystems may be even more detrimental.
Hang, Xu   +4 more
openaire   +2 more sources

Mapping Planted Forest Age Using Landtrendr Algorithm on the Loess Plateau, China

2023
Peng Li   +5 more
openaire   +1 more source

Surface change detection in Xunwu County based on GEE and LandTrendr algorithms

Second International Conference on Remote Sensing and Global Positioning Algorithm (RSGPA 2025)
Qian Qin, Runyuan Kuang, Zijun Bian
openaire   +1 more source

Home - About - Disclaimer - Privacy