Journal of Geographic Information System

Journal of Geographic Information System

ISSN Print: 2151-1950
ISSN Online: 2151-1969
www.scirp.org/journal/jgis
E-mail: jgis@scirp.org
"Wetland Assessment and Monitoring Using Image Processing Techniques: A Case Study of Ranchi, India"
written by Meenu Rani, Pavan Kumar, Manoj Yadav, R. S. Hooda,
published by Journal of Geographic Information System, Vol.3 No.4, 2011
has been cited by the following article(s):
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[2] Eco-dynamics of East Kolkata Wetlands with special reference to biodiversity: Efficacy of the application of GIS and Remote sensing in delineation ecological status
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[4] Spatial and temporal analysis of flood hazard assessment of Cuddalore District, Tamil Nadu, India. Using geospatial techniques
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[5] Assessing land use land cover dynamics of wetland ecosystems using Landsat satellite data
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[6] WETLAND ECOSYSTEM-HOME TO PLANT SPECIES DIVERSITY
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[7] Peatland degradation: the relationship between raised bog hydrology and NDVI
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[8] Assessment of land use land cover changes in Loktak Lake in Indo-Burma Biodiversity Hotspot using geospatial techniques
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[9] Spatio-temporal analysis of floating islands and their behavioral changes in Loktak Lake with respect to biodiversity using remote sensing and GIS techniques
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[10] Assessing suitability of allometric models for predicting stem volume of Anogeissus pendula Edgew in sariska Tiger Reserve, India
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[11] An automated image dehazing method for flood detection to improve flood alert monitoring system
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[12] SATELLITE-BASED TEMPORAL ASSESSMENT OF A DRIED LAKE: CASE STUDY OF AKGOL WETLAND
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[13] 습지 기능 평가의 동향 분석및 제언
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[14] To appear in: Remote Sensing Applications: Society and Environment
2017
[15] Reserve, India, Remote Sensing Applications: Society and Environment
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[16] An analysis of trends in wetland function assessments and further suggestions
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[17] Flora and fauna composition and development of plant-based monitoring tool for the improvement of ecosystem services and ecological state of wetlands of …
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[18] Estimation of accumulated soil organic carbon stock in tropical forest using geospatial strategy
The Egyptian Journal of Remote Sensing and Space Science, 2016
[19] Evaluating the Efficacy of Normalized Difference Vegetation Index for Monitoring Restoration Goals in the Shark River Slough, Everglades National Park
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[20] Solar PV Optimum Site Selection using Remote Sensing Data, GIS and Image Processing Techniques
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[21] Enhancing Regional Climate Resilience of Indian Fisheries Through Wetland Restoration and Scientific Fish Farming
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[22] Producing Land Use Land Cover Using Satellite Image and Image Processing Techniques A Case Study of The Somajiguda GHMC Ward
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[23] Developing Custom ArcGIS Tools to Prepare Data for Solar Potential Analysis using Remote Sensing Data and Image Processing Techniques
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[24] Quantification of River Bank Erosion and Bar Deposition in Chowhali Upazila, Sirajganj District of Bangladesh: A Remote Sensing Study
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[25] Determining natural and cultural changes around wetlands by means of remote sensing techniques: A case study in Egirdir Lake
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[26] An investigation into pan hydrology and ecology in the Makuleke concession, Northern Kruger, South Africa
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[27] Rice Equivalent Crop Yield Assessment Using MODIS Sensors' Based MOD13A1-NDVI Data
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[28] Geospatial Strategy for Estimation of Soil Organic Carbon in Tropical Wildlife Reserve
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[29] Geospatial Strategy for Assessment of Urban Change Dynamics using LISS III-Sensor
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[30] Geospatial strategy for tropical forest-wildlife reserve biomass estimation
Selected Topics in Applied Earth Observations and Remote Sensing, 2013
[31] An Efficient Hybrid Classification Approach for Land Use/Land Cover Analysis in a Semi-Desert Area Using and LISS-III Sensor
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[32] A satellite-based biodiversity dynamics capability in tropical forest
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[33] Monitoring of traffic and its impact on environment using geospatial technology
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[34] Physicochemical and biological characteristics of Two Ethiopian wetlands
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[35] Remote sensing and GIS for wetland vegetation study
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[36] An Efficient Hybrid Classification Approach for Land Use/Land Cover Analysis in a Semi-Desert Area Using ${\ rm ETM}{+} $ and LISS-III Sensor
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[37] An Efficient Hybrid Classification Approach for Land Use/Land Cover Analysis in a Semi-Desert Area Usingand LISS-III Sensor
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