Remote sensing of land change: A multifaceted perspective
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TLDR
In this paper , the authors proposed a new framework of the multifaceted view of land change through the lens of remote sensing and recommended five facets including change location, time, target, metric, and agent.About:
This article is published in Remote Sensing of Environment.The article was published on 2022-12-01 and is currently open access. It has received 13 citations till now. The article focuses on the topics: Change detection & Land use, land-use change and forestry.read more
Citations
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Object-based continuous monitoring of land disturbances from dense Landsat time series
Su Ye,Zhe Zhu,Guofeng Cao +2 more
TL;DR: In this article , an object-based change analysis is applied for each time-stamped snapshot: two levels of change objects are generated through over-segmentation and region merging; the changing area is determined by examining three object-level properties derived at different scales: the average change magnitude, the pre-change cover type, and the object size.
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Mapping photovoltaic power stations and assessing their environmental impacts from multi-sensor datasets in Massachusetts, United States
TL;DR: In this paper , the authors estimate the environmental impacts of photovoltaic power stations by geo-mapping solar panels over space and time based on the case of Massachusetts, United States, using object-based image analysis on Sentinel-2 monthly composites.
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Emerging Issues in Mapping Urban Impervious Surfaces Using High-Resolution Remote Sensing Images
TL;DR: In this article , the authors discuss the challenges in impervious surface estimation from high-resolution remote sensing imagery in terms of selection of spatial resolution, spectral band, and extraction method.
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Monitoring Land Cover Change by Leveraging a Dynamic Service-Oriented Computing Model
TL;DR: Wang et al. as mentioned in this paper proposed a dynamic service computing model (DSCM) for monitoring land cover change, and three dynamic computation strategies were proposed according to different users' requirements of change detection.
References
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Journal ArticleDOI
High-Resolution Global Maps of 21st-Century Forest Cover Change
Matthew C. Hansen,Peter Potapov,Rebecca Moore,M. Hancher,Svetlana Turubanova,Alexandra Tyukavina,David Thau,Stephen V. Stehman,Scott J. Goetz,Thomas R. Loveland,Anil Kommareddy,A. Egorov,Louise Chini,Christopher O. Justice,John R. Townshend +14 more
TL;DR: Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally, and boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms.
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Google Earth Engine: Planetary-scale geospatial analysis for everyone
TL;DR: Google Earth Engine is a cloud-based platform for planetary-scale geospatial analysis that brings Google's massive computational capabilities to bear on a variety of high-impact societal issues including deforestation, drought, disaster, disease, food security, water management, climate monitoring and environmental protection.
Journal ArticleDOI
Evidence for the existence of three primary strategies in plants and its relevance to ecological and evolutionary theory
TL;DR: A triangular model based upon the three strategies of evolution in plants may be reconciled with the theory of r- and K-selection, provides an insight into the processes of vegetation succession and dominance, and appears to be capable of extension to fungi and to animals.
OtherDOI
A land use and land cover classification system for use with remote sensor data
TL;DR: The framework of a national land use and land cover classification system is presented for use with remote sensor data and uses the features of existing widely used classification systems that are amenable to data derived from re-mote sensing sources.
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Citizens as sensors: the world of volunteered geography
TL;DR: In recent months, there has been an explosion of interest in using the Web to create, assemble, and disseminate geographic information provided voluntarily by individuals as mentioned in this paper, and the role of the amateur in geographic observation has been discussed.