Land Use / Land Cover Mapping of Nahra Nala Watershed Using Sentinel-2B Imagery (original) (raw)
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Journal of the Indian Society of Remote Sensing, 2005
The terms "land use" and "land cover" (LULC) are often used simultaneously to describe maps that provide information about the types of features found on the earth's surface (land cover) and the human activity that is associated with them (land use). Land cover is an important input parameter for a number of agricultural, hydrological, and ecological models, which constitute necessary tools for development, planning and management of natural resources in the territory. In order to use the land optimally, and to provide as input data in modelling studies, it is not only necessary to have information on existing land use/land cover but also the capability to monitor the dynamics of land use resulting out of changing demands. If the site is small, and easily accessible, a suitable land cover may be based on ground observations and surveys. However, such methods quickly become less feasible, if the site is large or difficult to access. Toposheets may be useful for reference, but are generally outdated and too coarse for detailed analysis. With improvements in software and hardware and decrease in the cost of imagery, satellite remote sensing is being used for more and more studies particularly at the landscape level. The characterization of land cover from satellite data, has conventionally provided a means of assessing a large geographical area with limited time, and resources. However, satellite images do not record land cover directly; rather they measure the nature, and strength of solar energy being reflected from each small area, or pixel of the scene. The amount of multispectral energy in multi wavelengths depends on the type of material at the earth's surface. And the objective is to associate particular land cover with each of these reflected energies. This is generally achieved using either visual or digital interpretation methods. In this study, we demonstrate how satellite imagery can be displayed and manipulated using digital techniques in a popular digital image processing software program, ERDAS IMAGINE 8.5 | The objective of the study is to outline the strategy for automatically identifying land cover types on a satel!!te scene using hybrid classification approach in a rugged forested watershed. The difficulty of obtaining cloud free
International Journal of Environment and Climate Change, 2021
Land use and land cover (LULC) classification mapping is important for evaluating, monitoring, protecting and planning for land resources. A key factor in extracting desired information from satellite images is choosing the right the spatial resolution. The scale of a pixel on the ground is known as spatial resolution. A pixel is the smallest ‘dot' that makes up an optical satellite image which defines the level of detail as in image. In this paper estimation of the areal extent of water, built up, barren land, vegetation land and fallow land classes with its classification accuracy were reviewed particularly for January 2013 and November 2016 in Karmala tehsil of Solapur district, India. LULC is implied by different spatial resolution images of Advanced Wide Field Sensor (AWiFS), Linear Imaging Self Scanning Sensor (LISS-III), Landsat-8 Operational Land Imager (OLI) and Sentinel-2A imageries in QGIS environment while the classification was carried out using the maximum likeliho...
Spatial Analysis of Land Use/Land Cover over India Using Satellite Based Remote Sensing Techniques
2000
Land use/land cover information is the basic prerequisite for land and water resource utilisation, conservation and management. The information on land use/land cover available today in form of thematic maps, published statistical figures in records and publications, are inadequate, inconsistent and do not provide up-to-date information on the changing land use patterns, processes and their spatial distribution in space and time. Efforts made by the State/Central Government departments and other institutions to bridge the information gaps and remove inconsistency in ground data collection, reporting and data compilation procedures, though encouraging, it is slow and time consuming. It is here, satellite remote sensing offers alternate, efficient and faster mode of data collection and updating of the land use/land cover information and helps to arrive at a standard classification and explanation to different land use/land cover classes. Realising the need for an up-to-date and accurate land use/land cover maps by several departments in the country, especially for agricultural land use planning, at the behest of Planning Commission, Government of India, National Remote Sensing Agency (NRSA)/Department of Space (DOS), Government of India, has carried out the land use/land cover mapping for the fifteen Agro-Climatic Zones (ACZ) covering all the 442 districts in the country on 1:250,000 scale using standardised IRS (LISS-II) satellite data of 1988-89 years. A land use/land cover classification system comprising twenty-two classes (upto Level-II) was developed.
Land use and Land Cover Characteristics using Bhuvan and MODIS Satellite Data
International Journal of Recent Technology and Engineering, 2021
Understanding vegetation characteristics is essential for watershed modeling, like in the prediction of streamflow and evapotranspiration (AET) estimation. So, the present study was taken to analyze the Land use/Land cover characteristics in a Sub-humid tropical river basin which is originating in the forested part of Western Ghats mountain ranges using the Moderate Resolution Imaging Spectroradiometer (MODIS) and Bhuvan satellite data as inputs for the algorithm. All the fourteen LU/LC characteristics present in the Hemavathi basin (5427 km2 ) were analyzed in the basin using satellite data which is located in Karnataka, India. Land Surface Reflectance (LSR) and Land Surface Temperature (LST) were the two data products used as input to map the pixel-wise variations in albedo, the fraction of vegetation (FV) and Land Surface Temperature (LST). It was found from the rainfall data that the year 2019 experienced higher rainfall than the average and 2012 very low rainfall than the norma...
Land Use/Cover Mapping of Nagpur Region (MS)
TIJ's Research Journal of Science & IT Management - RJSITM, 2017
Abstract: The land use/cover pattern of a region is consequence of natural and socio-economic factors and their application by human being in time and space. Land is used for crops, forests, mining, transport, housing, entertaining, manufacturing and cost-effective. The unused lands are unproductive waste and i.e. barren and fallow (temporary and permanent) land. To record the land use/cover information from surveying and data collection is not always possible in view of time and cost involved in data collection. Vegetation plays a key role in reducing ambient temperature, moisture and pollutant capture, energy use and subsequent ground level ozone reduction. In recent years vegetation mapping has become increasingly important, especially with advancements in environmental economic valuation. The spatial information from the remote sensing satellites enables researchers to quantify and qualify the amount and health of vegetation. The present study highlights significance of remote s...
Current World Environment, 2017
The spatial analysis of land use and land cover (LULC) dynamics is necessary for sustainable utilization and management of the land resources of an area. Remote sensing along with Geographical Information System emerged as an effective technique for mapping the LU/LC categories of an area in an efficient and cost-effective manner. The present study was conducted in Banjar river watershed located in Balaghat and Mandla district of Madhya Pradesh, India. The Normalized Difference Vegetation Index (NDVI) approach was adopted for LU/LC classification of study area. The Landsat-8 satellite data of year 2013 was selected for the classification purpose. The NDVI values were generated in ERDAS Imagine 2011 software and LU/LC map was prepared in ARC GIS environment. On the basis of NDVI values five LU/LC classes were recognized in the study area namely river & water body, waste land & habitation, forest, agriculture/other vegetation, open land/fallow land/barren land. The forest cover was found to be highly distributed in the study area with an extent of 115811 ha and least area was found to be covered under river and water body (4057.28 ha). This research work will be helpful for the policy makers for proper formulation and implementation of watershed developmental plans.
IAEME PUBLICATION, 2021
In the present investigation, the land use/land cover mapping of Ananthapur district in the state of Andhra Pradesh has been carried out using SENTINEL - 2A satellite (February -25, 2019) Spatial Resolution 10m, Multispectral, Digital data imagery on 1:50,000 scale by visual interpretation techniques. The identified land use / land cover features are Agriculture Plantation, Barren rocky, Built up - Urban, Canal / drain, Coastal, Cropped in 2 seasons Dense / Closed, Fallow land, Industrial area, Kharif, Mining - Active, Non Perennial, Open Scrub forest Perennial, Permanent, Quarry, Rabi, Mining / Quarry, Built up -Rural, Scrub forest Reservoir / Tank. Out of all these features, the maximum area is covered by Kharif +Rabi (double-cropped) (19.76%) followed by Kharif (single crop) (50.74%), Plantation (1.46 %) and Wastelands, hills with scrub (5.64%).
Remote Sensing as a direct adjunct to field, recently playing an important role in the study and assess the natural resource in any part of the world. Anthropogenic changes in land use and land cover and land use are often assumed to be identical, they are rather quite different. Land cover may be defined as the biophysical earth surface, while land use is often shaped by human, socio-economic and political influences on the land. Remote Sensing (RS), integrated with Geographic Information System (GIS), provides an effective tool for analysis of land use and land cover changes at a regional level. The geospatial technology of RS and GIS holds the potential for timely and costeffective assessment of natural resources. The techniques have been used extensively in the tropics for generating valuable information on forest cover, vegetation type and land use changes. Therefore, we have used RS and GIS to study land use land cover changes in and around Vempalli area of Kadapa district, Andhra Pradesh, India covering an area of about 711 sq. km. In this view the present work has been taken up to study and assess some of the natural resources and environmental potential of study area which is falling in the Survey of India toposheets No: 57 J 07 and 57 J 11. Under this study three thematic maps such as location map, drainage map and land use / land cover maps were prepared. The land use and land cover analysis on the study area has been attempted based on thematic mapping of the area consisting of built-up land, cultivated land, water bodies, forest and uncultivated land using the satellite image. The research concludes that there is a rapid expansion of built-up area. Land use and land cover information, when used along with information on other natural resources, like water, soil, hydro-geomorphology, etc. will help in the optimal land use planning at the macro and micro level.
Landuse Pattern Analysis Using Remote Sensing: A Case Study of Mau District, India
Land use mapping is fundamental for assessment, managing and protection of natural resources of a region and the information on the existing land use is one of the prime pre-requisites for suggesting better use of terrain. Advances in satellite sensor and their analysis techniques are making remote sensing systems realistic and attractive for use in research and management of natural resources. Land use maps are valuable tools for agricultural and natural resources studies. Due to strength of natural resources, updating these maps is essential. Employing traditional methods through aerial photos interpretation to produce such maps are costly and time consuming. With the growth of population and socio-economic activities, natural land cover is being modified for various development purposes. This has increased the rate of changes on land-use pattern over time and thus, affecting the overall ecosystem health. Land use mapping is an important tool for land management and monitoring. Th...
Journal of Human Ecology, 2012
Present study is an attempt to analyse the dynamics of land use / land cover using modern geospatial techniques of Remote Sensing and GIS in Takula Block of District Almora, Uttarakhand, India. The Landsat TM (Thematic Mapper) satellite images for year 1990 , Landsat ETM+ (Enhanced Thematic Mapper Plus) images for years 2005 and training data collected through field visit were used to analyse the dynamics of land use / land cover from 1999 to 2005 over a 15 year of period. Maximum Likelihood Algorithm was used for image classification in ERDAS 9.3. Mapping and analysis of land use / land cover classes were performed in ArcGIS 9.1 software. Five classes of land use / land cover (namely: forest, croplands, water bodies, built-up structures and fallow land) were mapped and analysed in the study area. The study reveals that the land use / land cover changes have occurred in forest (-6.28%), croplands (+7.99%), built-up structures (1.22%) fallow land (-2.97%) and water body (0.04%). The study also highlights the importance of digital change detection techniques in sustainable land use planning and development for Takula Block.