Results 31 to 40 of about 2,290,802 (153)

Landtrendr Atlantic Forest

, 2022
Long term analysis of all Atlantic Forest region using the Landtrendr ...
Eduardo Ribeiro Lacerda
core   +1 more source

Urban Renewal Mapping: A Case Study in Beijing from 2000 to 2020

Journal of Remote Sensing, 2023
Understanding the distribution and land history of old urban areas (OUAs) and renewed urban areas (RUAs) has become the key point of urban management. However, it is hard to acquire adequate information for lack of pertinent detection methods.
Hao Ni, Le Yu, Peng Gong, Xuecao Li, Jiyao Zhao   +4 more
doaj   +1 more source

Forest Age Mapping Using Landsat Time-Series Stacks Data Based on Forest Disturbance and Empirical Relationships between Age and Height

Remote Sensing, 2023
Forest age is a critical parameter for the status and potential of carbon sequestration in forest ecosystems and reflects major forest disturbance information. However, reliable forest age data with high spatial resolution are lacking to date.
Lei Tian, Longtao Liao, Yu Tao, Xiaocan Wu, Mingyang Li   +4 more
doaj   +1 more source

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

, 2022
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.
Platt, Daniel Stephen
core  

Tracking the Vegetation Change Trajectory over Large-Surface Coal Mines in the Jungar Coalfield Using Landsat Time-Series Data

Remote Sensing, 2023
Coal mining and ecological restoration activities significantly affect land surfaces, particularly vegetation. Long-term quantitative analyses of vegetation disturbance and restoration are crucial for effective mining management and ecological ...
Yanfang Wang, Shan Zhao, Hengtao Zuo, Xin Hu, Ying Guo, Ding Han, Yuejia Chang   +6 more
doaj   +1 more source

The Temporal-Based Forest Disturbance Monitoring Analysis: A Case Study of Nature Reserves of Hainan Island of China From 1987 to 2020

Frontiers in Environmental Science, 2022
Forest disturbance monitoring can provide scientific data for the decision making and management of nature reserves. LandTrendr algorithm has been applied to identify forest disturbances on a long-time scale through appropriate segmentation and linear ...
Han Xiao, Han Xiao, Xiaoqian Zhang, Xiaoqian Zhang, Min Yan, Min Yan, Li Zhang, Li Zhang, Hua Wang, Yan Ma, Jianbo Liu   +10 more
doaj   +1 more source

Monitoring of Cropland Abandonment Based on Long Time Series Remote Sensing Data: A Case Study of Fujian Province, China

Agronomy, 2023
Farmland is the basis for human survival and development. The phenomenon of cropland abandonment has seriously affected national agricultural production and food security.
Jiayu Wu, Shaofei Jin, Gaolong Zhu, Jia Guo   +3 more
doaj   +1 more source

Spatio-temporal coupling coordination analysis between marsh vegetation and hydrology change from 1985 to 2019 using LandTrendr algorithm and Google Earth Engine

Ecological Indicators, 2022
The interaction between marsh vegetation and hydrology has become one of the hotspots in the field of ecosystem research. Taking the Honghe National Nature Reserve as the study area, this paper integrated the GEE platform and LandTrendr algorithm to build a spatio-temporal monitoring model for marsh vegetation and hydrology change using remote sensing ...
Bolin Fu, Feiwu Lan, Shuyu Xie, Man Liu, Hongchang He, Ying Li, Lilong Liu, Liangke Huang, Donglin Fan, Ertao Gao, Zhili Chen   +10 more
openaire   +2 more sources

A New Method for Automated Clearcut Disturbance Detection in Mediterranean Coppice Forests Using Landsat Time Series

Remote Sensing, 2020
A Landsat time series has been recognized as a viable source of information for monitoring and assessing forest disturbances and for continuous reporting on forest dynamics. This study focused on developing automated procedures for detecting disturbances
Francesca Giannetti, Raffaello Pegna, Saverio Francini, Ronald E. McRoberts, Davide Travaglini, Marco Marchetti, Giuseppe Scarascia Mugnozza, Gherardo Chirici   +7 more
doaj   +1 more source

Real-Time Software for the Efficient Generation of the Clumping Index and Its Application Based on the Google Earth Engine

Remote Sensing, 2022
Canopy clumping index (CI) is a key structural parameter related to vegetation phenology and the absorption of radiation, and it is usually retrieved from remote sensing data based on an empirical relationship with the Normalized Difference between ...
Yu Li, Hongliang Fang
doaj   +1 more source