A comparison of supervised, unsupervised and synthetic land use classification methods in the north of Iran

Mohammady, Majid; Moradi, Hamidreza; Zeinivand, Hossein; Temme, A.J.A.M.

doi:10.1007/s13762-014-0728-3

Cited by 64 publications

(29 citation statements)

References 36 publications

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“…), the large extents of disagreement between our Combined map and Miettinen2016 on the east coast of Sumatra ( Figure 5A) are likely coconut and sago plantations misclassified as oil palm in our Combined map. Our results support previous studies that found higher accuracies using supervised methods [61][62][63].…”

Section: Discussionsupporting

confidence: 92%

Combining Radar and Optical Imagery to Map Oil Palm Plantations in Sumatra, Indonesia, Using the Google Earth Engine

et al. 2020

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Monitoring the expansion of commodity crops in the tropics is crucial to safeguard forests for biodiversity and ecosystem services. Oil palm (Elaeis guineensis) is one such crop that is a major driver of deforestation in Southeast Asia. We evaluated the use of a semi-automated approach with random forest as a classifier and combined optical and radar datasets to classify oil palm land-cover in 2015 in Sumatra, Indonesia, using Google Earth Engine. We compared our map with two existing remotely-sensed oil palm land-cover products that utilized visual and semi-automated approaches for the same year. We evaluated the accuracy of oil palm land-cover classification from optical (Landsat), radar (synthetic aperture radar (SAR)), and combined optical and radar satellite imagery (Combined). Combining Landsat and SAR data resulted in the highest overall classification accuracy (84%) and highest producer’s and user’s accuracy for oil palm classification (84% and 90%, respectively). The amount of oil palm land-cover in our Combined map was closer to official government statistics than the two existing land-cover products that used visual interpretation techniques. Our analysis of the extents of disagreement in oil palm land-cover indicated that our map had comparable accuracy to one of them and higher accuracy than the other. Our results demonstrate that a combination of optical and radar data outperforms the use of optical-only or radar-only datasets for oil palm classification and that our technique of preprocessing and classifying combined optical and radar data in the Google Earth Engine can be applied to accurately monitor oil-palm land-cover in Southeast Asia.

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Section: Discussionsupporting

confidence: 92%

Combining Radar and Optical Imagery to Map Oil Palm Plantations in Sumatra, Indonesia, Using the Google Earth Engine

et al. 2020

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“…These problems can be addressed using remote sensing data that offer a supplement to local measurements, providing comprehensive coverage of large areas. Such data are reliable and regularly updated (Chen et al 2013;Mujabar and Chandrasekar 2013;Mohammady et al 2015). LULC datasets are generally generated from available satellite data such as Landsat using state of the art classification methods including supervised, unsupervised, cross-correlation analysis, object-oriented and neural networks (Yuan et al 2005;Adepoju et al 2006;El Gammal et al 2010;Rawat and Kumar 2015).…”

Section: Introductionmentioning

confidence: 99%

Land use/land cover change along the Eastern Coast of the UAE and its impact on flooding risk

Hussein

Alkaabi

Ghebreyesus

et al. 2020

Geomatics, Natural Hazards and Risk

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This study was conducted to investigate the spatiotemporal changes of land use/land cover (LULC) along the eastern coast of the United Arab Emirates (UAE) over a 20-year period using an integration of remote sensing and Geographic Information Systems techniques. The impact of land use change on flooding potential was also investigated through hydrologic model simulations. Landsat images of the years 1996, 2006 and 2016 were processed and analyzed. Change detection was carried out to assess changes in the built-up areas. Furthermore, the impact of urbanization on flooding was assessed using a hydrologic model in two major watersheds of Fujairah Emirate. It was observed that for the period 1996-2006 the vegetation and the built-up areas had increased at a rate of 11.23% and 24.56%, respectively. For the period 2006-2016, this expansion more than doubled in terms of the vegetation class (27.51%) and slightly increased for the built-up class (28.98%). The change detection analysis revealed that urbanization has mostly occurred along the coastal boundary. Hydrologic model simulations quantified the role of urbanization in increasing the flooding potential. The increase depends on watershed characteristics and the rate of change in urbanization and the magnitude of the rainfall event. ARTICLE HISTORY

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“…A classificação foi executada pelo modo supervisionado na abordagem pixel-a-pixel, que agrega as regiões por semelhança de pixels nas amostras coletadas e que definem as classes temáticas que podem ser reconhecidas na imagem através de princípios como cor, tonalidade, textura, forma, grupamento, tamanho e sombra (MOHAMMADY, 2015(MOHAMMADY, , p.1515REIS, 2015, p. 61).…”

Section: Materiais E Métodosunclassified

Dinâmica Da Alteração Da Cobertura Vegetal E Uso Do Solo Com Suporte De Geotecnologia Na Bacia Hidrográfica Do Rio Desquite – Sc

et al. 2018

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RESUMOEstudos relacionados à caracterização temporal do uso e ocupação da terra são indispensáveis para a definição de políticas públicas de ordenamento territorial, permitindo compreender a dinâmica de ocupação dos territórios e como esta afeta os recursos hídricos de uma bacia hidrográfica. A demanda por água é crescente, e a manutenção de sua qualidade nos mananciais é um desafio devido ao avanço da urbanização para as áreas vizinhas e áreas de recarga dos mananciais, além de intervenções nos ambientes naturais para atividades econômicas. Faz-se importante a avaliação dos impactos ambientais nestes espaços, de forma a buscar dados importantes sobre o ambiente da bacia hidrográfica e nortear ações efetivas para melhor manter e aproveitar os recursos naturais. Este trabalho apresenta uma análise espaço temporal da dinâmica do uso e ocupação da terra na bacia hidrográfica do rio Desquite, no município de Otacílio Costa, Estado de Santa Catarina, entre os anos de 1976 a 2016. Partindo da classificação de imagens de satélite, foi analisada a evolução da ocupação territorial. Em comparação dos usos e legislação ambiental pertinente, constatou-se uma redução progressiva das áreas de vegetação nativa e o avanço, principalmente, das áreas destinadas à silvicultura, inclusive no entorno de cursos d'água. A evolução da alteração do uso do terra aconteceu de forma acelerada principalmente nos períodos entre 1976 e 2006. Como resultado da análise de conflitos de uso em APPs, os resultados mostraram que 55,90% das faixas marginais de cursos d'água estão ocupadas com classes diversas da mata nativa. Palavras-chave: uso e ocupação da terra; sensoriamento remoto; área de preservação permanente. ABSTRACTStudies related to the temporal characterization of land use and occupation are indispensable for defining public policies of territorial ordering, allowing to understand the dynamics of the territories occupation and how it affects the water resources of a watershed. The demand for water is increasing and the maintenance of its quality in the springs is a challenge due to the urbanization advance to the neighboring areas and areas of springs recharge, besides interventions in the natural environments for economic activities. This work shows a detailed spatiotemporal analysis of the land use dynamics and occupation in the Desquite watershed, in the municipality of Otacílio Costa, state of Santa Catarina, from the years 1976 to 2016. From the classification of Landsat satellite images, the evolution of the territorial occupation was analyzed comparing the uses and the environmental laws regarding the Areas of Permanent Preservation. A progressive reduction of the areas of native vegetation was noticed, as well as an increase of areas destined to silviculture, including around watercourses. The evolution of the alteration of land use happened rapidly, especially in the periods between 1976 and 2006. As a result of the analysis of conflicts of use in APPs, the results showed that 55,90% of the strips around water courses are occup...

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A comparison of supervised, unsupervised and synthetic land use classification methods in the north of Iran

Cited by 64 publications

References 36 publications

Combining Radar and Optical Imagery to Map Oil Palm Plantations in Sumatra, Indonesia, Using the Google Earth Engine

Combining Radar and Optical Imagery to Map Oil Palm Plantations in Sumatra, Indonesia, Using the Google Earth Engine

Land use/land cover change along the Eastern Coast of the UAE and its impact on flooding risk

Dinâmica Da Alteração Da Cobertura Vegetal E Uso Do Solo Com Suporte De Geotecnologia Na Bacia Hidrográfica Do Rio Desquite – Sc

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