ArticleSensors (Basel, Switzerland)2014
Land classification and change intensity analysis in a coastal watershed of Southeast China.
Article in Sensors (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Modelling bush encroachment dynamics using Intensity Analysis and the Cellular Automata model.Environmental monitoring and assessment · 2025Article
- Article
- Long-term evaluation on urban intensive land use in five fast-growing cities of northern China with GEE support.Scientific reports · 2021Article
- Changes in forest areas and land cover and their causes using intensity analysis: the case of Alabarda forest planning unit.Environmental monitoring and assessment · 2021Article
- Analysis of Land Cover Changes in Afromontane Vegetation of Image Forest Reserve, Southern Highlands of Tanzania.TheScientificWorldJournal · 2020Article
- Overstory-understory land cover mapping at the watershed scale: accuracy enhancement by multitemporal remote sensing analysis and LiDAR.Environmental science and pollution research international · 2020Article
- Evidence and impact of map error on land use and land cover dynamics in Ashi River watershed using intensity analysis.PloS one · 2020Article
- Intensity and Stationarity Analysis of Land Use Change Based on CART Algorithm.Scientific reports · 2019Article
- Land Transition and Intensity Analysis of Cropland Expansion in Northern Ghana.Environmental management · 2018Article
- Effects of Tree-crop Farming on Land-cover Transitions in a Mosaic Landscape in the Eastern Region of Ghana.Environmental management · 2018Article
- Measuring Land Change in Coastal Zone around a Rapidly Urbanized Bay.International journal of environmental research and public health · 2018Article
- Environmental monitoring and assessment of landscape dynamics in southern coast of the Caspian Sea through intensity analysis and imprecise land-use data.Environmental monitoring and assessment · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study is to improve the understanding of land changes in the Jiulong River watershed, a coastal watershed of Southeast China. We developed a stratified classification methodology for land mapping, which combines linear stretching, an Iterative Self-Organizing Data Analysis (ISODATA) clustering algorithm, and spatial reclassification. The stratified classification for 2002 generated less overall error than an unstratified classification. The stratified classifications were then used to examine temporal differences at 1986, 1996, 2002, 2007 and 2010. Intensity Analysis was applied to analyze land changes at three levels: time interval, category, and transition. Results showed that land use transformation has been accelerating. Woodland's gains and losses were dormant while the gains and losses of Agriculture, Orchard, Built-up and Bare land were active during all time intervals. Water's losses were active and stationary. The transitions from Agriculture, Orchard, and Water to Built-up were systematically targeting and stationary, while the transition from Woodland to Built-up was systematically avoiding and stationary.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.