Mapping Land Cover Using Remote Sensing Data and GIS Techniques: A Case Study of Prahova Subcarpathians

Rujoiu-Mare, Marina-Ramona; Mihai, Bogdan

doi:10.1016/j.proenv.2016.03.029

Cited by 67 publications

(29 citation statements)

References 13 publications

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“…The NDVI is a standard vegetation index and it is determined based on the reflective properties of the areas covered by vegetation. This indicator shows the distinction between different types of land use by taking into account the variation in the value of green biomass, canopy water stress and chlorophyll content [3]. The value of the NDVI band varies from -1 to +1.…”

Section: Methodsmentioning

confidence: 99%

Assessment of land use change in Kon - Ha Thanh rivers catchment using landsat images

Ngọc¹

2019

jst

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Analysis of land use maps will provide important information upon which most management and intervention policies rely.Land use changes may have major impacts on the use of resources such as conditions for land and water use. However, land use map is often scarce for large area due to expensive statistics measurement work. In this study, the land use of Kon – Ha Thanh rivers catchment is mapped from 1990 to 2017 using remote sensing and geographic information system (GIS). It is found that the land use map generated in this study is in good agreement with the actual map provided by Binh Dinh Province Department of Planning and Investment (2017). Land use maps and the trend of conversion between soil types are analyzed and presented in detail during 1990-2017. The study outcomes can provide essential information for planning and sustainable development activities in the context of rapid industrialization and urbanization epoch.

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Section: Methodsmentioning

confidence: 99%

Assessment of land use change in Kon - Ha Thanh rivers catchment using landsat images

Ngọc¹

2019

jst

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“…Así también, definir tipos actuales de cobertura terrestre con levantamientos de campo directo es prácticamente imposible por la extensión y la dificultad de acceso a los territorios de las cuencas. Las técnicas de Teledetección son también las indicadas en este tipo de estudios (Rujoiu-Mare & Mihai, 2016). Hay que destacar que estas técnicas constituyen una forma de medición directa en campo, de características biofísicas a partir de las propiedades ópticas de los tipos de cobertura terrestre en términos de su reflexión de la luz incidente.…”

Section: Aportes De La Geomática Y Limitantes En El Estudiounclassified

Variabilidad espacio-temporal de la cobertura terrestre en la cuenca del río Tecolutla, México

Tapia-Silva

Flores

2017

GeoFocus

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RESUMENEn este estudio se caracteriza el cambio de coberturas de suelo de una cuenca en México desde la Geomática. Se parte de aplicar un modelado conceptual que permitió efectuar una abstracción espacial útil para identificar los elementos fundamentales del sistema territorial analizado y sus interrelaciones. Se analizaron imágenes satelitales Landsat (5, 7, 8), correspondientes a los años 1985-1986, 1994, 2002-2003 y 2013, cubriendo un periodo de 28 años. Se aplicaron correcciones radiométricas, y se obtuvieron clasificaciones supervisadas. Como resultado se alcanzaron índices Kappa de 0.74-0.85, indicando buena exactitud. Los principales resultados en la cuenca en los 28 años analizados son: la cobertura agrícola pasó de 24 % a 42 % y su tasa de cambio anual (TCA) fue de 1.86 %. Poblado fue la clase más dinámica (TCA 8.8 %). Forestal pasó a agrícola en 54 %, matorral a pastizal en 46 % y a agrícola en 41 %.Palabras clave: Geomática, Modelo Conceptual Geoespacial, imágenes Landsat, cuenca, cambio de cobertura terrestre. SPACE-TEMPORAL VARIABILITY OF TERRESTRIAL COVERAGE IN THE RIVER BASIN TECOLUTLA, MEXICO ABSTRACTLand cover change in a Mexican river basin was characterized by Geomatics, applying a conceptual modeling method that allowed a spatial abstraction useful to identify the fundamental elements of the analyzed territorial system and their interrelationships. Landsat satellite images (5, 7 and 8) of 1985-1986, 1994, 2002-2003 and 2013, were used, covering a period of 28 years. Radiometric corrections were applied and supervised classifications were obtained. As result Kappa indices of 0.74-0.85 were reached, indicating good accuracy. The main results in the 28-year analyzed are: agricultural coverage increased from 24 % to 42 % and its annual change rate (TCA) was 1.86 %. Urban was the most dynamic class (TCA 8.8 %). Forest cover changes to agriculture in 54 %, scrub to pasture in 46 % and to agriculture in 41 %.

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“…Land cover represents an important factor in the geographic analysis, from physical geography to environmental analysis and spatial planning approaches. This is a dynamic variable that reflects the interaction between socio-economic activity and local environmental changes and therefore needs to be updated frequently (Rujoiu and Mihai, 2016). LC information is essential for managing natural resources and monitoring of environmental changes (Bharath et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Detection of Changes in Land Cover and Land Surface Temperature Using Multi Temporal Landsat Data

Myint

Min²

2020

Environ. Nat. Resour. J.

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Land cover changes and land surface temperature have rose in the tropical regions of Myanmar especially in the surrounding areas of Magway city due to the rapid growth of urban sprawl. This study investigated the patterns of land cover and the trend of land surface temperature in Magway city area between 1989 and 2017. For this purpose, Landsat 5 TM and Landsat 8 OLI were used and land surface temperatures (LST) were calculated through thermal data with Normalized Difference Vegetation Index (NDVI). After obtaining the land cover map by using maximum likelihood algorithm for each study period, the accuracy of this map was tested using 100 ground checkpoints in an error matrix. A statistical analysis of the results showed the increase of the built-up area by 11.7% and the decline of the vegetation area by 19.7% from 1989 to 2017. Moreover, land surface temperature has risen by 4 C during this 28 years period. Therefore, this study is intended to help the Magway city development council plan effective land cover management in the future.Citation: Myint AA, Min MM. Detection of changes in land cover and land surface temperature using multi temporal Landsat data. Environ. Nat.Resour.

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Mapping Land Cover Using Remote Sensing Data and GIS Techniques: A Case Study of Prahova Subcarpathians

Cited by 67 publications

References 13 publications

Assessment of land use change in Kon - Ha Thanh rivers catchment using landsat images

Assessment of land use change in Kon - Ha Thanh rivers catchment using landsat images

Variabilidad espacio-temporal de la cobertura terrestre en la cuenca del río Tecolutla, México

Detection of Changes in Land Cover and Land Surface Temperature Using Multi Temporal Landsat Data

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