This book “Wasteland Mapping using Remote Sensing and GIS: A case study Sirsa district of Haryana, India” is the outcome of five years research experience of Dr*(Er.) K.S. Rawat and Er. Shashi Vind Mishra in Remote Sensing and GIS science. This book “Wasteland Mapping using Remote Sensing and GIS” has been written for Haryana (India), a state known for Natural Resources Management. This book is intended for use in graduate level course in wasteland Management, and for researchers who wish to work in wasteland Mapping.
Low success rate of drilling productive wells is a common challenge in hard rock environment. The use of remote sensing with ground information is becoming effective method in improving success rate. In this work thematic layers generated from satellite images, existing maps and ground survey results were integrated to delineate the groundwater potential zones. Lineament, thermal lineament, soil moisture, vegetation anomaly and landuse/landcover factors maps were generated from images and slope, drainage density and lithology were derived from existing maps. The zone of weathering layer is generated from water point inventory and Vertical Electrical Sounding survey interpretation results. Data derived from different sources were processed, analyzed and reclassified to common scale and weighted. Multi-criteria evaluation using pairwise comparison matrix was used for ranking the thematic layers. Then raster based GIS modeling was conducted using Weighted Linear Combination method to generate the groundwater prospect map. The resulting groundwater prospect map revealed large part of the study area has poor groundwater potential which is in good agreement with the field survey result.
Remote Sensing (RS) is the technique of acquiring different type of positional and thematic information about the Earth's surface through sensor without being in direct contact with the object and Geographical Information System (GIS) is a tool for handling spatial data. High resolution RS data has many applications in mapping land use and land cover, agriculture, soil mapping, forestry, city planning and natural resource management. This study intends to develop the cadastral map of Mirzapur district, Uttar Pradesh (India) in order to assist planners and engineers in decision making for different upcoming projects in the area.
Relatively little attention is currently given to the issue of biodiversity loss in savannah ecosystems and only a limited range of methods have been developed for the assessment and management of this issue. The aim of this study was to contribute to a better understanding of dry land woody species biodiversity and to test if woody species biodiversity assessment can be performed using remote sensing and geostatistics. The research was undertaken on an experimental site in the Serowe area, Botswana. A total of 169 sample plots were collected and analyzed. An importance value index (IVI), which is the summation of relative frequency, relative density and relative basal area, was used to select the dominant species of the area. The applicability of IKONOS imagery data and geostatistical techniques for savannah woody species biodiversity assessment were tested. A total of 33 woody species, which belong to 25 genera and 18 families, were identified. Two vegetation types were identified: dense savannah (SAD) and open savannah (SAO). The tree stems density was significantly higher (t-test, t=-4.39, d.f=167, p>0.001) in SAD than in SAO. According to the IVI criteria, the dominant species.
Deforestation is today a worldwide problem and despite increasing efforts regarding forest management and forest conservation, the issue remains. Human activities are a major cause and forests are continuously turning into other land uses such as agriculture and pasture. Africa is a continent with fast growing population and during the last century major impacts has been seen in the African landscape. This study was conducted in Kenya in eastern Africa in cooperation with SCC-Vi Agroforestry. The study area is located in Marakwet district which holds one of the largest remaining natural forests in the country. This forest is experiencing a severe ongoing illegal deforestation. The study investigated the forest degradation during the period 1986-2009. Satellite data was used to detect the deforestation and GIS software was used for mapping and analysis. The results indicate great changes in forest cover. During the 23 year period, 4 149 hectares of forest was cleared – representing a 14 percent decrease of forest cover. The created future scenario indicates that if nothing is done to prevent the ongoing deforestation, 45 percent of the forest will be cut down until the year 2100.
This book is an expression of the myriad ways in which the range of Remote Sensing and GIS techniques can be applied to the mapping of glaciers. Glaciers are characterized by the variability of different types of snow and ice deposited in accumulation and ablation areas. Remote Sensing techniques like Digital image processing of satellite data provide an effective solution for categorizing the various materials on glaciers depending upon their spectral reflectance.Visual interpretation in glaciated terrain suffers mainly because of less understanding highly variable material composition and processes operative over glaciers. This sometimes leads to biased interpretation based on little knowledge which leads to wrong interpretation. Inventory of the glaciers is of prime interest to evaluate the nature of changes in glacier dimensions and also to establish relationship between climatic change and dynamics of glaciers. As glaciological studies in high altitude terrains are very difficult by conventional methods. Remote Sensing data with GIS techniques is used to mapping and monitoring of permanent snowfields and glacier covered area.
The book is very important for food security Experts and GIS and Remote Sensing specialists. The food security situation nowadays is becoming worsen in developing countries. The climate change is one major factor for the case. Remote Sensing and GIS should be given with due attention to address problems. It is possible to add other responsible factors for food insecurity and overlay in GIS environment to precisely delineate the insecure ares. NDVI and its related indices are explored in the thesis. This work can be taken as a spring board to researchers to incorporate other factors and bring models to concerned bodies.
Remote sensing (RS), Geographic Information Systems (GIS) and Global Positioning System (GPS) are modern technologies for data acquire, storage, processing, analysis, management and generate these data in large quantities and high quality. The integration between these modern tools (RS, GIS and GPS) has a large scale of applications in different fields including agriculture sector. Land evaluation is an essential tool for land use planning and it contains a lot of concepts like soil capability, soil suitability and soil productivity. In this book, the author explains the fundamental concepts of Remote Sensing, GIS, GPS and land evaluation and he used their applications in a case study for mapping soil physical and chemical characteristics, digital elevation model for soil surface, land use, soil suitability and soil erosion of study area. The main objectives of this case study are: Building up a digital georeferenced database in GIS environment, Utilize the availability of remotely-sensed imagery to mapping soils for the study area and evaluate the suitability of this soils for some selected crops.
This monograph is a study on “Land use and land cover mapping using remote sensing and Geographical Information System (A case study of Rupnagar district, Punjab)”. Remote Sensing and GIS is present day need for monitoring, measurement and modeling through which we can acheive at better decision making. Moreover this monographs deals with the application of Satellite Remote Sensing in land use assessment and will also help in identifying the problem areas and their probable solutions. The main content of the study discuss how the population change is responsible for the change current in land use and future prediction. This monograph will help in creating new knowledge among the students and various other stakeholders. With the help of modern technologies we can make our world more sustainable.
Remote sensing data have been used to monitor land use changes; this has an important role in urban and rural development and the determination of natural resources. Also, remote sensing is very useful for the production of land use and land cover statistics which can be useful to determine the distribution of land uses in the watershed. Using remote sensing techniques to develop land use classification mapping is a useful and detailed way to improve the selection of areas designed to agricultural, urban and/or industrial areas of a region. The present study shows the land use/land cover and their changes. As land is the most important resource for man and also the most important physical elements for development, the land is used for various purposes which are evident from preceding chapter, the new changes has also been found through study of satellite imagery and field checks. The land use in the study area has been categorized under different categories using remote sensing data and GIS techniques and the changes have been discussed.
Flood is the one of the most important natural hazard in India that occurs frequently due to some natural and anthropogenic factors. The delta region of Mahanadi river basin located in eastern part of India which is densely populated and major paddy growing region in the state of Orissa. Floods are frequent phenomena occurring in this part of the state during south-west monsoon, which causes severe damage of lives, property as well as agriculture. Remote sensing and GIS is an important tool for the flood mapping and its damage assessment. It provides timely assistance and save lives and property. The main objective of the present book is to give flood damage assessment and vulnerability analysis in part of Mahanadi Delta Basin, India. Using SAR data flood hazard map and flood depth the vulnerability of each element at risk is calculated. Finally the total risk has been identified. So, Remote sensing and GIS can be used for the risk communication among the people in our society for different strategic management and planning. This book meets the requirements of Under Graduate and Post Graduate courses in geography, earth science, environmental management and Disaster management.
This book is useful for adoption of soil and water conservation measures for application of Remote Sensing and GIS techniques for generation of development plans for the watershed area in consonance with the production potential and limitations of terrain resources and for assessing the impact of the measures undertaken before their implementation in the field. The survey can be done either by manually or by using remote sensing and GIS for the selected sub watershed (5G1C5e). The sub watershed of 16940 ha comprising of 23 micro watersheds falling in Junagadh district of Gujarat state (India) was identified and considered for the study purpose. The thematic maps were prepared using the Remote Sensing images, soil maps and reports prepared by NBSS & LUP. All these maps were digitized in the ARCVIEW module of ARC/INFO GIS software. The Soil Conservation Service Curve Number (CN) method is used for computing the runoff. In the present study, soil loss is predicted employing USLE method and an integrated analysis in GIS is carried out for Soil Conservation and for delineation suitable conservation unit. Satellites and other collateral data are used .
Space Technology has recently taken over the traditional way of Mapping in various fields relating to proper Planning and Management. Remote Sensing and GIS has surfaced to be the "key" tools that enabled proper planning than the traditional way of Mapping, Cartography. Improved technology has greatly helped in the recent years, particularly in the areas of mapping and planning. In essence, this book provides a systematic way and approach in utilizing Space Technology (Remote Sensing, GIS & GPS), to map and investigate Ground water for monitoring and proper planning efforts. In addition, the analysis and approach taken should shed some light for those shifting from the traditional way of mapping (Cartography) into utilizing the state of the art technology, Remote Sensing and GIS which is widely used in the 21st Century.
Information on LULC change would have helped for planners and decision makers to implement LULC planning aimed at sustainable use and management of resources, to improve rural livelihood at regional and local level as well. This study is intended to assess the LULC change in the Koga watershed, North Western Ethiopia, for the past thirty eight years (1973-2011) using GIS and remote sensing techniques. The study watershed covered 29,348.8 hectares.
Over the last few years environmental management has been a major cause for concern especially in Africa. Kenya is not an exception in this issue with resources such as water, forests and wildlife being under threat from various quarters. The threat to water resources is posing a challenge to environmental sustainability. Lake Naivasha located in the Rift Valley in Kenya is one such water resource. There is a need to study such water resources and identify the problems facing them in order to suggest some solutions. This work takes a look at land use/ land cover changes with Lake Naivasha and its surroundings as the case study. It examines the use of Remote Sensing and Geographical Information Systems in mapping the land use/ land cover changes around the lake between 1986 and 2006 as well as predicting future changes and their implications. This book will be especially useful to professionals and students in the fields of environmental management and conservation, specifically those dealing with water resource management.