land cover map
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2022 ◽  
Vol 14 (1) ◽  
pp. 545
Author(s):  
Hiroki Amano ◽  
Yoichiro Iwasaki

Agricultural fields, grasslands, and forests are very important areas for groundwater recharge. However, these types of land cover in the Kumamoto area, Japan, were damaged by the Kumamoto earthquake and heavy rains in 2016. In this region, where groundwater provides almost 100% of the domestic water supply for a population of about 1 million, quantitative evaluation of changes in groundwater recharge due to land cover changes induced by natural disasters is important for the sustainable use of groundwater in the future. The objective of this study was to create a land cover map and estimate the groundwater recharge in 2016. Geographic information system (GIS) data and SPOT 6/7 satellite images were used to classify the Kumamoto area into nine categories. The maximum likelihood classifier of supervised classification was applied in ENVI 5.6. Eventually, the map was cleaned up with a 21 × 21 kernel filter, which is larger than the common size of 3 × 3. The created land cover map showed good performance of the larger filter size and sufficient validity, with overall accuracy of 91.7% and a kappa coefficient of 0.88. The estimated total groundwater recharge amount reached 757.56 million m3. However, if areas of paddy field, grassland, and forest had not been reduced due to the natural disasters, it is estimated that the total groundwater recharge amount would have been 759.86 million m3, meaning a decrease of 2.30 million m3 in total. The decrease of 2.13 million m3 in the paddy fields is temporary, because the paddy fields and irrigation channels have been improved and the recharge amount will recover. On the other hand, since the topsoil on the landslide scars will not recover easily in natural conditions, it is expected to take at least 100 years for the groundwater recharge to return to its original state. The recharge amount was estimated to decrease by 0.17 million m3 due to landslides. This amount is quite small compared to the total recharge amount. However, since the reduced recharge amount accounts for the annual water consumption for 1362 people, and 12.1% of the recharge decrease of 1.41 million m3 each year to fiscal year 2024 is expected by municipalities, we conclude that efforts should be made to compensate for the reduced amount due to the disasters.


2021 ◽  
Vol 21 (6) ◽  
pp. 265-273
Author(s):  
Yu Jin Kang ◽  
Won-joon Wang ◽  
Haneul Lee ◽  
Kyung Tak Kim ◽  
Soojun Kim ◽  
...  

In Korea, flood damage occurs every year due to typhoons and heavy rains, resulting in increasing damage to human lives and properties in urban areas. To reduce the scale of flood damage, economic analyses of flood-control work are conducted as part of efficient disaster management in the context of a limited budget. In this study, a quantitative evaluation of flood damage in Ulsan due to Typhoon Chaba was conducted using multi-dimensional flood damage analysis (MD-FDA). However, the land cover map applied to MD-FDA has limited data resolution and update intervals. Examination of domestic and foreign research cases to complement these spatial analysis data showed that grid data were being used in disaster-related fields. This study evaluated whether grid data are suitable for quantitative assessment through economic analyses conducted using new spatial analysis data such as road name address digital maps and 100 × 100 m grid-based spatial analysis data. The results of this study confirm that center-point-method grid data constitute spatial analysis data suitable for economic analysis.


Land ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 35
Author(s):  
Paolo De Fioravante ◽  
Andrea Strollo ◽  
Francesca Assennato ◽  
Ines Marinosci ◽  
Luca Congedo ◽  
...  

The study involved an in-depth analysis of the main land cover and land use data available nationwide for the Italian territory, in order to produce a reliable cartography for the evaluation of ecosystem services. In detail, data from the land monitoring service of the Copernicus Programme were taken into consideration, while at national level the National Land Consumption Map and some regional land cover and land use maps were analysed. The classification systems were standardized with respect to the European specifications of the EAGLE Group and the data were integrated to produce a land cover map in raster format with a spatial resolution of 10 m. The map was validated and compared with the CORINE Land Cover, showing a significant geometric and thematic improvement, useful for a more detailed and reliable evaluation of ecosystem services. In detail, the map was used to estimate the variation in carbon storage capacity in Italy for the period 2012–2020, linked to the increase in land consumption


2021 ◽  
Author(s):  
Kang He ◽  
Qing Yang ◽  
Xinyi Shen ◽  
Emmanouil N. Anagnostou

Abstract. In this communication, we present the exposure of agriculture lands to the flooding caused by extreme precipitation in western Europe from 12th to 15th of July 2021. Overlaying the flood inundation maps derived from the near-real-time RAdar-Produced Inundation Diary (RAPID) system on the CORINE land cover map we estimate a 2470 km2 area affected by the flooding, with 57 % representing agricultural land. Among the inundated agricultural land, 36 % of the area is pastures while 33 % is arable land. Most agricultural flood exposure is found in south-eastern France (~1680 km2) along Rhône River and the coastal area of Marseille and Montpellier.


2021 ◽  
Vol 892 (1) ◽  
pp. 012051
Author(s):  
Chuzaimah ◽  
F Sjarkowi ◽  
E Wildayana ◽  
Yunita

Abstract Watershed management is intended to provide maximum economic benefits for local communities without neglecting environmental sustainability. The problem in this paper are how changes in land cover and how economic achievements in the form of income of conversion and non-conversion farmers in Rantau Kadam Village, Karang Dapo District. The data collected consists of primary data and secondary data. Land cover was analyzed using ArcMap Ver.10.2 with Landsat 8 for path/row 124/62 and 126/62 for image analysis. Meanwhile, the amount of income is determined using the formulas of income (NR), revenue (TR) and cost of production (TC). The land cover change was carried out by comparing the land cover map in 2009 with the land cover map in 2013 and 2018. The results showed that there had been changes in land use in Rantau Kadam Village, especially fields, open land and plantations. The use of open land has continued to increase from 1.83% (in 2009) to 8.77% (in 2013), and in 2018 it was 37.26%, while fields and plantations showed a decreasing trend. In conversion, it was found that the income of non-rubber converting farmers had a lower income value than oil palm conversion farmers. The average income of farmers per hectare per year for rubber commodity farmers is IDR 5,515,029.42/ha/year, while oil palm conversion farmers are IDR 17,109,341.38/ha/year. The policy implication that can be taken is that there must be institutional strengthening so that the selling price that applies between farmers can be the same.


2021 ◽  
Vol 921 (1) ◽  
pp. 012008
Author(s):  
Ariyani ◽  
M Achmad ◽  
E Morgan

Abstract Coastal areas provide invaluable resources which have important environment, economic and social value. These resources encourages growing population and development which induced rapid changes in coastal areas. This study aims to analyse the changes in land cover of the coastal areas of Kendari Bay to provide recent perspectives of how land cover has changed using Landsat TM and Landsat OLI images for the period of 1998, 2008 and 2018. The classified land cover classes are categorized as waterbodies, built-up, bareland, forest, wetland, vegetation and mangrove. The land cover map of each period was acquired from supervised classification using maximum likelihood algorithm in ArcGIS, then the land cover change was analysed through post-classification change detection of GIS-based method. . Accuracy assessment of classified images shows the overall accuracy is estimated as 88.71%, 85.81% and 91.61%, and overall Kappa coeffient statistical values of 0.87, 0.83 and 0.90 for the year 1998, 2008 and 2018 respectively. This study found that there was significant land cover change in the coastal areas of Kendari Bay. It was dominated by the expansion of built-up areas and bareland by 55% and 469.77% respectively, which was gained from the conversion of vegetation and wetland. Meanwhile, considerable reduction were shown in mangrove, wetland, forest and vegetation which have declined by 48.65%, 43.39%, 38.72% and 27.20%. Analysing land cover change is an effective way to understand the dynamics of land cover in coastal areas, and can be used for future land use planning and policies.


2021 ◽  
Vol 13 (20) ◽  
pp. 11284
Author(s):  
Seok-Cheol Park ◽  
Bong-Ho Han

This study calculated the ecological network index (City Biodiversity Index 2) of 85 cities in Korea using the Land Cover Map. Based on the values of the index, four types of city were studied, including Miryang (Cluster A), Anseong (Cluster B), Samcheok (Cluster Cluster), and Yongin (Cluster D). Based on the current status of land use and natural green space in urban areas, small and medium-sized cities do not show many disconnected factors and have a positive (+) effect on the ecological network index (ENI) value. In order to promote urban biodiversity, it is necessary not only to expand the green area quantitatively, but also to improve the quality, such as expanding and connecting natural green areas, and reducing linear disconnection factors.


2021 ◽  
Vol 12 (4) ◽  
pp. 22-39
Author(s):  
Keerti Kulkarni ◽  
Vijaya P. A.

The need for efficient planning of the land is exponentially increasing because of the unplanned human activities, especially in the urban areas. A land cover map gives a detailed report on temporal dynamics of a given geographical area. The land cover map can be obtained by using machine learning classifiers on the raw satellite images. In this work, the authors propose a combination method for the land cover classification. This method combines the outputs of two classifiers, namely, random forests (RF) and support vector machines (SVM), using Dempster-Shafer combination theory (DSCT), also called the theory of evidence. This combination is possible because of the inherent uncertainties associated with the output of each classifier. The experimental results indicate an improved accuracy (89.6%, kappa = 0.86 as versus accuracy of RF [87.31%, kappa = 0.83] and SVM [82.144%, kappa = 0.76]). The results are validated using the normalized difference vegetation index (NDVI), and the overall accuracy (OA) has been used as a comparison basis.


2021 ◽  
Author(s):  
Shahzad Ali ◽  
Huang An Qi ◽  
Malak Henchiri ◽  
Zhang Sha ◽  
Fahim Ullah Khan ◽  
...  

Abstract In South Asia, annual land cover and land use (LCLU) is a severe issue in the field of earth science because it affects regional climate, global warming, and human activities. Therefore, it is vital essential to obtain correct information on the LCLU in the South Asia regions. LULC annual map covering the entire period is the primary dataset for climatological research. Although the LULC annual global map was produced from the MODIS dataset in 2001, this limited the perspective of the climatological analysis. This study used AVHRR GIMMS NDVI3g data from 2001 to 2015 to randomly forests classify and produced a time series of the annual LCLU map of the South Asia. The MODIS land cover products (MCD12Q1) are used as data from reference for trained classifiers. The results were verified using of the annual map of LCLU time series, and the space-time dynamics of the LCLU map were shown in the last 15 years, from 2001 to 2015. The overall precision of our 15-year land cover map simplifies 16 classes, which is 1.23% and 86.70% significantly maximum as compared to the precision of the MODIS data map. Findings of the past 15 years shows the changing detection that forest land, savanna, farmland, urban and established land, arid land, and cultivated land have increased; by contrast, woody prairie, open shrub-lands, permanent ice and snow, mixed forests, grasslands, evergreen broadleaf forests, permanent wetlands, and water bodies have been significantly reduced over South Asia regions.


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