Estimación de zonas potenciales de aguas subterráneas en la cuenca del río Portoviejo mediante análisis jerárquico basado en SIG y teledetección

La utilización del agua subterránea en Ecuador se ha venido incrementando y cada día gana importancia debido al agotamiento, contaminación o inexistencia de fuentes superficiales. Sin embargo, la información hidrogeológica de la cual dispone el país es incompleta, desactualizada y dispersa, faltando implementar estrategias para la gestión del recurso hídrico subterráneo, iniciando con el proceso de legalización y regularización de los concesionarios formales e informales. El presente estudio tuvo como objetivo determinar las zonas potenciales de aguas subterráneas en la cuenca del río Portoviejo aplicando el método de análisis jerárquico (AHP, según sus siglas en inglés) basado en el sistema de información geográfica (SIG) y teledetección de acceso libre. A partir de este análisis se obtuvo el índice de potencial de aguas subterráneas (GWPI, según sus siglas en inglés), utilizado para la creación del mapa de zonas potenciales, el cual fue comparado con datos existentes en el inventario de puntos de agua. En la validación, se obtuvo una efectividad del 87 % para el mapa resultante, el cual ha sido influenciado en mayor grado por la permeabilidad de la roca, la precipitación y la densidad de drenajes, y en menor proporción por la pendiente del terreno y el índice de vegetación de diferencia normalizada (NDVI, según sus siglas en inglés). Palabra clave: agua subterránea, AHP, GWPI. Abstract The use of groundwater in Ecuador has been increasing and is gaining importance every day due to the depletion, contamination, or non-existence of surface sources. However, the hydrogeological information available in the country is incomplete, outdated, and dispersed, and there is a lack of strategies for managing subway water resources, starting with the process of legalization and regularization of formal and informal concessionaires. The objective of this study was to determine the potential groundwater areas in the Portoviejo River basin by applying the hierarchical analysis method (AHP) based on geographic information system (GIS) and remote sensing with free access. From this analysis, the groundwater potential index (GWPI) was obtained, used to create the map of potential areas, which was compared with existing data in the inventory of water points. In the validation, effectiveness of 87 % was obtained for the resulting map, which has been influenced in greater degree by the permeability of the rock, the precipitation and the density of drainages, and in smaller proportion by the slope of the land and the normalized difference vegetation index (NDVI). Keywords: AHP, groundwater, GWPI.

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Potencial para la exploración de aguas subterráneas en la Demarcación Hidrográfica Puyango Catamayo, Ecuador, utilizando un proceso de análisis jerárquico basado en SIG y teledetección

Revista de Teledetección ◽

10.4995/raet.2018.7592 ◽

2018 ◽

pp. 135

Author(s):

V.X. Macas-Espinosa ◽

K.F. López-Escobar

Keyword(s):

Vegetation Index ◽

Normalized Difference Vegetation Index ◽

Drainage Density ◽

Groundwater Potential ◽

Groundwater Exploration ◽

Point Of View ◽

Primary Data ◽

Analytic Hierarchy ◽

Potential Index ◽

Elevation Model

The objective of this study is to apply geographic information systems and remote sensing techniques to map potential areas for groundwater exploration in the Puyango Catamayo hydrographic demarcation, based on free input data. The research’s primary data are a digital elevation model, satellite images, regional geology and rainfall. From the methodological point of view, Multi-Criteria Decision Analysis is applied, using an Analytic Hierarchy Process, which takes as thematic layers the rock permeability, the rainfall, the drainage density, the terrain slope, and the normalized difference vegetation index. Thus, the Groundwater Potential Index is obtained, which is used to map potential areas for groundwater exploration. The resulting map is compared with the existing data of the water point inventory, generated by the Ecuador’s National Institute of Meteorology and Hydrology. Data validation by this method shows that 30% of the water points are located in areas not suitable for groundwater exploration, while 70% are in favorable areas.

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A GIS-Based Approach for the Quantitative Assessment of Soil Quality and Sustainable Agriculture

Sustainability ◽

10.3390/su132313438 ◽

2021 ◽

Vol 13 (23) ◽

pp. 13438

Author(s):

Mostafa A. Abdellatif ◽

Ahmed A. El Baroudy ◽

Muhammad Arshad ◽

Esawy K. Mahmoud ◽

Ahmed M. Saleh ◽

...

Keyword(s):

Soil Quality ◽

Environmental Sustainability ◽

Vegetation Index ◽

Normalized Difference Vegetation Index ◽

Kriging Interpolation ◽

Quality Model ◽

Soil Quality Index ◽

Gis And Remote Sensing ◽

Geostatistical Approach ◽

Total Study Area

Assessing soil quality is considered one the most important indicators to ensure planned and sustainable use of agricultural lands according to their potential. The current study was carried out to develop a spatial model for the assessment of soil quality, based on four main quality indices, Fertility Index (FI), Physical Index (PI), Chemical Index (CI), and Geomorphologic Index (GI), as well as the Geographic Information System (GIS) and remote sensing data (RS). In addition to the GI, the Normalized Difference Vegetation Index (NDVI) parameter were added to assess soil quality in the study area (western part of Matrouh Governorate, Egypt) as accurately as possible. The study area suffers from a lack of awareness of agriculture practices, and it depends on seasonal rain for cultivation. Thus, it is very important to assess soil quality to deliver valuable data to decision makers and regional governments to find the best ways to improve soil quality and overcome the food security problem. We integrated a Digital Elevation Model (DEM) with Sentinel-2 satellite images to extract landform units of the study area. Forty-eight soil profiles were created to represent identified geomorphic units of the investigated area. We used the model builder function and a geostatistical approach based on ordinary kriging interpolation to map the soil quality index of the study area and categorize it into different classes. The soil quality (SQ) of the study area, classified into four classes (i.e., high quality (SQ2), moderate quality (SQ3), low quality (SQ4), and very low quality (SQ5)), occupied 0.90%, 21.87%, 22.22%, and 49.23% of the total study area, respectively. In addition, 5.74% of the study area was classified as uncultivated area as a reference. The developed soil quality model (DSQM) shows substantial agreement (0.67) with the weighted additive model, according to kappa coefficient statics, and significantly correlated with land capability R2 (0.71). Hence, the model provides a full overview of SQ in the study area and can easily be implemented in similar environments to identify soil quality challenges and fight the negative factors that influence SQ, in addition to achieving environmental sustainability.

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Drought Risk Assessment in the Khushab Region of Pakistan Using Satellite Remote Sensing and Geospatial Methods

International Journal of Economic and Environmental Geology ◽

10.46660/ijeeg.vol10.iss1.2019.217 ◽

2019 ◽

Vol 10 (1) ◽

pp. 48-56 ◽

Cited By ~ 4

Author(s):

Muhammad Khubaib Abuzar ◽

Muhammad Shafiq ◽

Syed Amer Mahmood ◽

Muhammad Irfan ◽

Tayyaba Khalil ◽

...

Keyword(s):

Remote Sensing ◽

Social Life ◽

Vegetation Index ◽

Normalized Difference Vegetation Index ◽

Standardized Precipitation Index ◽

Temporal Analysis ◽

Agricultural Drought ◽

Natural Phenomenon ◽

Drought Risk ◽

Gis And Remote Sensing

Drought is a harmful and slow natural phenomenon that has significant effects on the economy, social life,agriculture and environment of the country. Due to its slow process it is difficult to study this phenomenon. RemoteSensing and GIS tools play a key role in studying different hazards like droughts. The main objective of the study wasto investigate drought risk by using GIS and Remote Sensing techniques in district Khushab, Pakistan. Landsat ETMimages for the year 2003, 2009 and 2015 were utilized for spatial and temporal analysis of agricultural andmeteorological drought. Normalized difference vegetation index (NDVI) Standardized Precipitation Index (SPI) andrainfall anomaly indices were calculated to identify the drought prone areas in the study area. To monitormeteorological drought SPI values were used and NDVI was calculated for agricultural drought. These indices wereintegrated to compute the spatial and temporal drought maps. Three zones; no drought, slight drought and moderatedrought were identified. Final drought map shows that 30.21% of the area faces moderate drought, 28.36% faces slightdrought while nearly 41.3% faces no drought situation. Drought prevalence and severity is present more in the southernpart of Khushab district than the northern part. Most of the northern part is not under any type of drought. Thus, anoverall outcome of this study shows that risk areas can be assessed appropriately by integration of various data sourcesand thereby management plans can be prepared to deal with the hazard.

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Monitoring Land Cover Change Using Remote Sensing and GIS Techniques: a Case Study of Al-Dalmaj Marsh, Iraq

Journal of Engineering ◽

10.31026/j.eng.2018.09.07 ◽

2018 ◽

Vol 24 (9) ◽

pp. 96 ◽

Cited By ~ 1

Author(s):

Marwah Moojid Kadhim

Keyword(s):

Remote Sensing ◽

Land Cover ◽

Vegetation Index ◽

Normalized Difference Vegetation Index ◽

Accurate Information ◽

Past Century ◽

Landsat Images ◽

Gis And Remote Sensing ◽

Vegetation Water ◽

Set Up

Al-Dalmaj marsh and the near surrounding area is a very promising area for energy resources, tourism, agricultural and industrial activities. Over the past century, the Al-Dalmaje marsh and near surroundings area endrous from a number of changes. The current study highlights the spatial and temporal changes detection in land cover for Al-Dalmaj marsh and near surroundings area using different analyses methods the supervised maximum likelihood classification method, the Normalized Difference Vegetation Index (NDVI), Geographic Information Systems(GIS), and Remote Sensing (RS). Techniques spectral indices were used in this study to determine the change of wetlands and drylands area and of other land classes, through analyses Landsat images for different three years (1990, 2003, 2016). The results indicated that there was an annual increase in vegetation was from 1990 with 980.68 km2, and 1420.35km2 in 2003 to 2072.98km2 in 2016. Whereas, the annual water coverage was about 185.95km2 in 1990 then dropped to 68.27km2 in 2003, and rose to 180.23 km2 in 2016. The water coverage increasing was on the account of barren lands areas, which were significantly decreased. These collected data can be used to deliver accurate information of the values of vegetation,water, wetlands and drylands sustainability of resources which can be used to make plans to increase tourism and protected areas by using barren lands which cannot be reclaimed for agriculture, and cultivate a new renewable energy can be set up as solar power stations.

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Delineation of groundwater recharge zones in the Mitidja plain, north Algeria, using multi-criteria analysis

Journal of Hydroinformatics ◽

10.2166/hydro.2020.082 ◽

2020 ◽

Vol 22 (6) ◽

pp. 1468-1484

Author(s):

Abdelmadjid Boufekane ◽

Hind Meddi ◽

Mohamed Meddi

Keyword(s):

Groundwater Recharge ◽

High Water ◽

Groundwater Potential ◽

Geographical Information ◽

Groundwater Potential Zones ◽

Gis And Remote Sensing ◽

Potential Groundwater ◽

North Algeria ◽

High Hydraulic Conductivity ◽

Supply Information

Abstract This work aims to identify the potential groundwater recharge zones in the Mitidja plain (north Algeria) using the multi-criteria approach. The analysis was based on the use of a geographical information system (GIS) and remote sensing to establish eight thematic maps, weighted, categorized and inserted, that allowed us to establish the potential zones’ map for groundwater recharge. Three potential groundwater recharge classes were defined corresponding, respectively, to low (26%), moderate (47%) and high (27%). The best groundwater potential zones are situated in the piedmont of the Blidean Atlas (the south of the study area), precisely, upstream near to wadis (wadi El Harrach, wadi Djemaa, wadi Mazafran) and the western aquifer limit, where the hydrogeological units are formed by the alluvium formation which is characterized by high hydraulic conductivity, high water flow, low slope, low drainage, low quantity transported sediments and good water quality. The obtained results, in this work, describe the groundwater recharge potential areas and supply information for a suitable mapping and the management of aquifer resources in the study area.

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Multi-criteria modelling of drought: a study of Brandenburg Federal State, Germany

Modeling Earth Systems and Environment ◽

10.1007/s40808-021-01197-2 ◽

2021 ◽

Author(s):

Christopher Ihinegbu ◽

Taiwo Ogunwumi

Keyword(s):

Surface Temperature ◽

Land Surface Temperature ◽

Land Surface ◽

Vegetation Index ◽

Normalized Difference Vegetation Index ◽

Agricultural Land ◽

Federal State ◽

Landsat 8 ◽

Gis And Remote Sensing ◽

Drought Assessment

AbstractDrought is the absence or below-required supply of precipitation, runoff and or moisture for an extended time period. Modelling drought is relevant in assessing drought incidence and pattern. This study aimed to model the spatial variation and incidence of the 2018 drought in Brandenburg using GIS and remote sensing. To achieve this, we employed a Multi-Criteria Approach (MCA) by using three parameters including Precipitation, Land Surface Temperature and Normalized Difference Vegetation Index (NDVI). We acquired the precipitation data from Deutsche Wetterdienst, Land Surface Temperature and NDVI from Landsat 8 imageries on the USGS Earth Explorer. The datasets were analyzed using ArcGIS 10.7. The information from these three datasets was used as parameters in assessing drought prevalence using the MCA. The MCA was used in developing the drought model, ‘PLAN’, which was used to classify the study area into three levels/zones of drought prevalence: moderate, high and extreme drought. We went further to quantify the agricultural areas affected by drought in the study area by integrating the land use map. Results revealed that 92% of the study area was severely and highly affected by drought especially in districts of Oberhavel, Uckermark, Potsdam-Staedte, and Teltow-Flaeming. Finding also revealed that 77.54% of the total agricultural land falls within the high drought zones. We advocated for the application of drought models (such as ‘PLAN’), that incorporates flexibility (tailoring to study needs) and multi-criteria (robustness) in drought assessment. We also suggested that adaptive drought management should be championed using drought prevalence mapping.

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Drought Risk Assessment in the Khushab Region of Pakistan Using Satellite Remote Sensing and Geospatial Methods

International Journal of Economic and Environmental Geology ◽

10.46660/ojs.v10i1.217 ◽

2019 ◽

Vol 10 (1) ◽

pp. 48-56

Author(s):

Muhammad Khubaib Abuzar ◽

Muhammad Shafiq ◽

Syed Amer Mahmood ◽

Muhammad Irfan ◽

Tayyaba Khalil ◽

...

Keyword(s):

Remote Sensing ◽

Social Life ◽

Vegetation Index ◽

Normalized Difference Vegetation Index ◽

Standardized Precipitation Index ◽

Temporal Analysis ◽

Agricultural Drought ◽

Natural Phenomenon ◽

Drought Risk ◽

Gis And Remote Sensing

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EVALUATION OF THE POTENTIAL OF GREEN ROOFS APPLIED TO AN URBAN FABRIC USING GIS AND REMOTE SENSING DATA CASE OF THE NADOR CITY / MOROCCO

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlvi-4-w3-2021-177-2022 ◽

2022 ◽

Vol XLVI-4/W3-2021 ◽

pp. 177-184

Author(s):

R. Lambarki ◽

E. Achbab ◽

M. Maanan ◽

H. Rhinane

Keyword(s):

Surface Area ◽

Vegetation Index ◽

Normalized Difference Vegetation Index ◽

Plant Cover ◽

Green Roofs ◽

Living Environment ◽

Green Spaces ◽

Surface Model ◽

Landsat 8 ◽

Gis And Remote Sensing

Abstract. Accelerated urban growth has affected many of the planet's natural processes. In cities, most of the surface is covered with asphalt and cement, which has changed the water and air cycles. To restore the balance of urban ecosystems, cities must find the means to create green spaces in an increasingly gray world. Green spaces provide the city and its inhabitants a better living environment. This article uses Nador city as a case study area, this project consists in studying the possibility for the roofs to receive vegetation. The first axis of this project is the quantification of the current vegetation cover at ground level by calculating the Normalized Difference Vegetation Index (NDVI) based on Satellite images Landsat 8, then the classification of the LiDAR point cloud, and the generation of a digital surface model (DSM) of the urban area. This type of derived data was used as the basis for the various stages of estimating the potential plant cover at the roof level. In order to study the different possible scenarios, a set of criteria was applied, such as the minimum roof area, the inclination and the duration of the sunshine on the roof, which is calculated using the linear model of angstrom Prescott based on solar radiation. The study shows that in the most conservative scenario, 21771 suitable buildings that had to be redeveloped into green roofs, with an appropriate surface area of 369.26Ha allowing a 63,40% increase in the city's green space by compared to the current state contributing to the improvement of the quality of life and urban comfort. The average budget for the installation of green roofs in a building with a surface area of 100 m2 varies between 60000dh and 170000dh depending on the type of green roofs used, extensive or intensive. These results would enable planners and researchers in green architecture sciences to carry out more detailed planning analyzes.

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IDENTIFIKASI PERUBAHAN KERAPATAN VEGETASI KOTA MANADO TAHUN 2001 SAMPAI 2015

MAJALAH ILMIAH GLOBE ◽

10.24895/mig.2017.19-1.448 ◽

2017 ◽

Vol 19 (1) ◽

pp. 65

Author(s):

Nurlita Indah Wahyuni ◽

Diah Irawati Dwi Arini ◽

Afandi Ahmad

Keyword(s):

Vegetation Index ◽

Normalized Difference Vegetation Index ◽

Landsat 8 ◽

Vegetation Density ◽

Forage Crops ◽

Area Change ◽

Gis And Remote Sensing ◽

Crown Density ◽

Landsat 7 ◽

The Impact

ABSTRAKKebutuhan manusia akan lahan di wilayah perkotaan menyebabkan perubahan fungsi lahan terutama pada area bervegetasi. Penelitian bertujuan untuk mengkaji perubahan kerapatan vegetasi tahun 2001 dan 2015 di Kota Manado serta pengaruhnya terhadap kualitas lingkungan. Penelitian dimulai dengan melakukan pengumpulan data citra satelit Landsat 7 tahun 2001 tanggal akuisisi 14 Februari 2001 dan Landsat 8 tanggal akusisi 25 Maret 2015, data-data pendukung lainnya yaitu peta administrasi kota Manado tahun 2010, peta rupa bumi kota Manado skala 1:50.000. Metode yang digunakan dalam penelitian ini adalah perbandingan nilai normalized difference vegetation index (NDVI) dengan kanal merah (red) dan infra merah dekat (NIR) yang sudah dikonversi ke nilai reflektan. Teknik analisis menggunakan Sistem Informasi Geografis (SIG) dan penginderaan jauh dengan menentukan kerapatan vegetasi dan diklasifikasikan menjadi kelas kerapatan. Hasil penelitian menunjukkan bahwa perbandingan kelas kerapatan antara 2001 dan 2015 sebagai berikut kelas tidak bervegetasi (air dan awan) mengalami peningkatan sebesar 14,29%, kelas tidak rapat (lahan kosong, pemukiman, bangunan, dan industri) mengalami peningkatan sebesar 42,56%, kelas cukup rapat (tegalan dan tumbuhan ternak) mengalami peningkatan sebesar 48,94%, kelas rapat (perkebunan, sawah kering, dan semak belukar) mengalami penurunan sebesar 68,46% dan kelas sangat rapat (hutan lebat) mengalami penurunan sebesar 314,07%. Selama kurun waktu 15 tahun penurunan areal bervegetasi di Kota Manado diperkirakan 10,57%. Perubahan areal bervegetasi di Kota Manado signifikan terjadi karena kegiatan reklamasi pantai menjadi lahan terbangun serta lahan kosong dan perkebunan menjadi perumahan. Dampak yang saat ini mulai dirasakan dengan adanya perubahan areal bervegetasi adalah peningkatan suhu dan polusi udara di wilayah perkotaan.Kata kunci:Landsat, Normalized Difference Vegetation Index (NDVI), kerapatan, Kota Manado ABSTRACTHuman demand on urban land has brought various impacts toward land use, one of them is vegetation area change. This study aims to identify vegetation density change between period 2001 and 2015 in Manado area along with its influence toward environment quality. The data was collected from Landsat 7 imagery with acquisition date on February 14th 2001 and Landsat 8 imagery with acquisition date on March 25th 2015. Supporting data i.e. administrative map of Manado City in 2010 and basic map of Manado in scale 1:50.000. We compared normalized difference vegetation index (NDVI) between red band and near infra red (NIR) band. Geographic Information System (GIS) and remote sensing techniques were used to determine and classify crown density of vegetation. The result showed that the density class comparison between 2001 and 2015 were: no vegetation (water body and cloud) increased 14,29%, low dense (bareland, residence, buildings and industry) increased 42,56%, moderately dense (garden and forage crops) increased 48,94%, dense (plantation, dry field and shrubs) decreased 68,46% and highly dense (forest) decreased 314,07%. In the period 15 years there was decreasing of vegetation area in Manado city 10,57% approximately. The significance change of Manado City was occurred due to coast reclamation into building area as well as bare land and plantation become residence. The impact of vegetation area change is the increasing of temperature and air pollution in urban area.Keywords: Landsat, Normalized Difference Vegetation Index (NDVI), density, Manado City

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Application of GIS and Remote Sensing for Identification of Groundwater Potential Zone in the Hilly Terrain of Bangladesh

Grassroots Journal of Natural Resources ◽

10.33002/nr2581.6853.03032 ◽

2020 ◽

Vol 3 (3) ◽

pp. 16-27

Author(s):

Md. Abu Hamjalal Babu ◽

Md. Risadul Islam ◽

Fahim Farzana ◽

Muhammad Jasim Uddin ◽

Md. Sirajul Islam

Keyword(s):

Remote Sensing ◽

Drainage Density ◽

Groundwater Potential ◽

Groundwater Potential Zone ◽

Subsurface Water ◽

Potential Zone ◽

Hilly Terrain ◽

Gis And Remote Sensing ◽

Potential Groundwater ◽

Gis System

Groundwater is the most significant assets on the planet and is declining continuously. The integration of GIS system and remote sensing turned into substantial tools in the field of subsurface water study, which assists in surveying, observing and monitoring the groundwater capitals. With this backdrop, using GIS and remote sensing application, a study was conducted to identify the potential groundwater zones in the hilly district Khagrachhari. The ground water potential zones were identified based on different thematic maps such as drainage, density, lineament density, slope, land use or land cover, soil and geology by using weighted overlay analysis. The groundwater potential zones were investigated orderly into four classes known as poor, moderate, good and very good. This groundwater potential information will work as a guideline to the concerned local authority to identify effectively the suitable locations for the extraction of groundwater.

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