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Use of multi-temporal Landsat images for analyzing forest transition in relation to socioeconomic factors and the environment
2011
International Journal of Applied Earth Observation and Geoinformation
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In this study, the rates of reforestation, deforestation, forest regrowth and degradation were measured using multi-temporal Landsat images of Danjiangkou, China. ...
The research showed that the socioeconomic factors due to different policies were major driving forces of forest transition, whereas environmental attributes of the underlying landscape constrained forest ...
Acknowledgments Financial support for this research was provided by the National Natural Science Foundation of China (No. 41071190), the Hundred Talents Project of the Chinese Academy of Sciences, the ...
doi:10.1016/j.jag.2010.10.002
fatcat:vpjwnavxdfa5th25btacinpcsm
Spatio-temporal Urban Change Analysis and the Ecological Threats Concerning The Third Bridge in Istanbul City
2014
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The key factor for a Markov is the transition probability matrix, which defines change trend from past to today and into the future for a certain class type, and land use suitability maps for urban. ...
<br><br> Since the spatial and temporal components of urbanization can be more simply identified through modeling, this study aims to analyze the urban change and assess the ecological threats in Istanbul ...
a CA-Markov model approach based on classified multi-temporal Landsat images. ...
doi:10.5194/isprsarchives-xl-7-9-2014
fatcat:yym2n46sl5ae7hbuwgxr4yjdlm
Land Use/Land Cover Changes and Their Driving Factors in the Northeastern Tibetan Plateau Based on Geographical Detectors and Google Earth Engine: A Case Study in Gannan Prefecture
2020
Remote Sensing
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To overcome this problem in LULC mapping in the Ganan Prefecture, 2000–2018, we used the dense time stacking of multi-temporal Landsat images and random forest algorithm based on the Google Earth Engine ...
The land-use intensity presents multi-level intensity, and it was higher in the northeast than that in the southwest. (3) Elevation and population density were the major driving factors of LULC changes ...
We also thank the journal editor and the anonymous reviewers for their useful comments and great efforts on this paper.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs12193139
fatcat:wx4hwjt5jvbutl4fuvwv3caana
LAND USE/LAND COVER CHANGE PREDICTION USING MULTI-TEMPORAL SATELLITE IMAGERY AND MULTI-LAYER PERCEPTRON MARKOV MODEL
2020
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Data from Landsat images captured in 2009, 2015, and 2018 was employed to analyze and predict the spatial distributions of LULC categories. ...
Overall, ascertaining the complex interface related to changes in land use and its major drivers over time provides useful information predict to explore the future trend of LULC changes, establish alternative ...
The authors would like to thank the sponsor and all of the people involved in the field data collection for classification and validation. ...
doi:10.5194/isprs-archives-xliv-3-w1-2020-99-2020
fatcat:24dfnk3ycnazxhxsbfgyx4iqrm
Past and Future Trajectories of Farmland Loss Due to Rapid Urbanization Using Landsat Imagery and the Markov-CA Model: A Case Study of Delhi, India
2019
Remote Sensing
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This study integrated multi-temporal Landsat images, the Markov-Cellular Automation (CA) model, and socioeconomic factors to analyze the historical and future farmland loss in the Delhi metropolitan area ...
Accordingly, the major objectives of this study were: (1) to classify the land use and land cover (LULC) map using multi-temporal Landsat images from 1994 to 2014; (2) to develop and calibrate the Markov-CA ...
Acknowledgments: The authors would like to take this opportunity to thank members of the editorial board and anonymous reviewers for their useful and constructive comments. ...
doi:10.3390/rs11020180
fatcat:g764grirmzgipfduhwcnp5e3cm
Multi-temporal Satellite Images Analysis for Assessing and Mapping Deforestation in Um Hataba Forest, South Kordofan, Sudan
2022
Journal of Sylva Indonesiana
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The objective of this study is assess and map Land use Land cover (LULC) change and analyze the anthropogenic factors causing it in Um Hataba forest, South Kordofan State. ...
The study utilized two-free cloud images (TM 2000 and Sentinel-2 in 2018), field surveys, and questionnaires to analyze the decrease in forest cover. ...
of multi-temporal satellite images, GIS, ground inventory, and social survey was being used to assess deforestation in Um Hataba Forest. ...
doi:10.32734/jsi.v5i01.7504
fatcat:rdnuzt24bbautlgzd26rkb66ye
Assessing Land Cover Change Trajectories In Olomouc, Czech Republic
2014
Zenodo
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Here broad scale of political and socioeconomic factors was also affect the rate and direction of landscape changes. ...
Multi-temporal satellite data from 1991, 2001 and 2013 were used to extract land use/cover types by object oriented classification method. ...
Remote sensing data provide valuable multi-temporal information of the processes and patterns of land cover change. GIS is useful for mapping and analyzing these patterns [19] . ...
doi:10.5281/zenodo.1095896
fatcat:qbtegpag4zdn7dnq5ew5avkg6m
Spatio-Temporal Land-Use/Land-Cover Change Dynamics in Coastal Plains in Hangzhou Bay Area, China from 2009 to 2020 Using Google Earth Engine
2021
Land
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Land-use classification is fundamental for environmental and water resource evaluation in coastal plain areas. ...
The proposed model uses a random forest algorithm to assist the land-use classification. ...
Urbanization, as an important socioeconomic factor, plays a vital role in promoting land-use transition. ...
doi:10.3390/land10111149
fatcat:jadvihrjgvbj7nbu5i7as3cxzm
Predictive Modeling of Transport Infrastructure Space for Urban Growth Phenomena in Developing Countries' Cities: A Case Study of Kano—Nigeria
2020
Sustainability
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Three epochs of Landsat images from 1984, 2013 and 2019 were processed, classified and analyzed. ...
The calibration quality met the 80% minimum suggested in literature for the spatial-temporal track and prediction of urban growth phenomena. ...
Acknowledgments: The authors would like to thank the staff and management of University of Birmingham, United Kingdom for the various support during the fellowship experience. ...
doi:10.3390/su13010308
fatcat:7alwpb6f4rbf3naapacwmswlsu
A Review of Swidden Agriculture in Southeast Asia
2014
Remote Sensing
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International programs, such as the Reducing Emissions from Deforestation and forest Degradation (REDD), underscore the importance of monitoring and evaluating swidden agriculture and its transition to ...
In this context, along with the accessibility of Landsat historical imagery, remote sensing based techniques will offer an effective way to detect and monitor the locations and extent of swidden agriculture ...
The understanding of the dynamics of traditional slash-and-burn land use practice is of significant importance and will surely contribute to better assessing the environmental and socioeconomic impacts ...
doi:10.3390/rs6021654
fatcat:4bko4b5emrgnzi226ylzxkj3cu
Analysis on Land-Use Change and Its Driving Mechanism in Xilingol, China, during 2000–2020 Using the Google Earth Engine
2021
Remote Sensing
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Based on Google Earth Engine (GEE) and Landsat satellite remote-sensing images, the random forest (RF) classification algorithm was applied to create a yearly land-use/land-cover change (LULC) dataset ...
We conclude that the GEE+RF method is capable of automated, long time-series, and high-accuracy land-use mapping, and further changes in climatic, environmental, and socioeconomic development factors, ...
Zewdie and Csaplovics analyzed the LULC in the semi-arid region of Ethiopia using Landsat MSS and Landsat TM data from 1970 to 2010 with SVM supervised classification algorithm and used socioecological ...
doi:10.3390/rs13245134
fatcat:ljlvmtho7fh67ao3cagzbat3iu
Monitoring Quarry Area with Landsat Long Time-Series for Socioeconomic Study
2018
Remote Sensing
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Quarry sites result from human activity, which includes the removal of original vegetation and the overlying soil to dig out stones for building use. ...
The method was applied to Landsat images to derive a quarry distribution map and quarry area time series from 1984 to 2017, revealing significant inter-annual variability. ...
Social Discussion Prior work has documented the feasibility of the Landsat archive for monitoring land cover changes and analyzing their dynamics in a high-resolution multi-temporal way [14] . ...
doi:10.3390/rs10040517
fatcat:dxphaaziejcvxgumztcrefn2pu
Forest Cover Changes and Trajectories in a Typical Middle Mountain Watershed of Western Nepal
2018
Land
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interactions between environmental and socioeconomic factors. ...
This study aimed at assessing land-use and land-cover changes, especially those related to forest cover changes, in Phewa Lake watershed-a typical middle mountain watershed of western Nepal-using multi-temporal ...
Acknowledgments: We would like to express our gratitude to the two anonymous reviewers. We are grateful to Anna Finke and Ben Forrest for English editing. Any remaining errors are solely our own. ...
doi:10.3390/land7020072
fatcat:b7lvqcgdknh3tnshhxtaswecf4
Using the Landsat data archive to assess long-term regional forest dynamics assessment in Eastern Europe, 1985-2012
2015
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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We developed an algorithm for processing imagery from different Landsat platforms and sensors (TM and ETM+), aggregating these images into a common set of multi-temporal metrics, and mapping annual gross ...
The objective of our research was to consistently quantify forest cover change across Eastern Europe from 1985 until 2012 using the complete Landsat data archive. ...
ACKNOWLEDGMENT The project was supported by NASA Land-Cover/Land-Use Change Program research grants NNX13AC66G and NNX12AG74G. We greatly appreciate help in fieldwork from our colleagues E. Boren, M. ...
doi:10.5194/isprsarchives-xl-7-w3-531-2015
fatcat:ildh5okifnf63nq2pw2csykz2u
Using Landsat data to assess fire and burn severity in the North American boreal forest region: an overview and summary of results
2008
International journal of wildland fire
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We developed an algorithm for processing imagery from different Landsat platforms and sensors (TM and ETM+), aggregating these images into a common set of multi-temporal metrics, and mapping annual gross ...
The objective of our research was to consistently quantify forest cover change across Eastern Europe from 1985 until 2012 using the complete Landsat data archive. ...
ACKNOWLEDGMENT The project was supported by NASA Land-Cover/Land-Use Change Program research grants NNX13AC66G and NNX12AG74G. We greatly appreciate help in fieldwork from our colleagues E. Boren, M. ...
doi:10.1071/wf08007
fatcat:255qmtnaxzbpfgfbmztytv2qze
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