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Research paper thumbnail of Automated Algorithm for Extraction of Wetlands from Irs Resourcesat Liss III Data

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012

Wetlands play significant role in maintaining the ecological balance of both biotic and abiotic l... more Wetlands play significant role in maintaining the ecological balance of both biotic and abiotic life in coastal and inland environments. Hence, understanding of their occurrence, spatial extent of change in wetland environment is very important and can be monitored using satellite remote sensing technique. The extraction of wetland features using remote sensing has so far been carried out using visual/ hybrid digital analysis techniques, which is time consuming. To monitor the wetland and their features at National/ State level, there is a need for the development of automated technique for the extraction of wetland features. A knowledge based algorithm has been developed using hierarchical decision tree approach for automated extraction of wetland features such as surface water spread, wet area, turbidity and wet vegetation including aquatic for pre and post monsoon period. The results obtained for Chhattisgarh, India using the automated technique has been found to be satisfactory, when compared with hybrid digital/visual analysis technique.

Research paper thumbnail of Potential landfill site suitability study for environmental sustainability using GIS-based multi-criteria techniques for nashik and environs

Environmental Earth Sciences, 2022

Research paper thumbnail of Spatial Analysis of Land Use/Land Cover over India Using Satellite Based Remote Sensing Techniques

Land use/land cover information is the basic prerequisite for land and water resource utilisation... more 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.

Research paper thumbnail of Land Use /Land Cover Study of Saarc Countries: Nepal, Sri Lanka and Bangladesh

Research paper thumbnail of Remote Sensing and Gis Based Approach for Environmental Sensitivity Studies a Case Study from Indian East Coast

In the wake of Earth Summit – 2002 resolutions, and also the recently omni-prevalent environmenta... more In the wake of Earth Summit – 2002 resolutions, and also the recently omni-prevalent environmental awareness across the globe, it has become imperative to pay attention to environmental concerns, and to standardize the procedures, wherever possible. A big step in this direction was the development of Environmental Sensitivity Indices (based on different events and parameters). NOAA and USEPA have taken lead on this front in USA and have got developed Environmental Sensitivity Index (ESI) for coastal areas, and Reach Sensitivity Index (RSI) for inland riparian and lacustrine areas, which have become bench, marks for further research in this direction. The present paper focuses on the application of remote sensing and GIS technologies for deriving the RSI and ESI; and also the validity of the indices in the context of a tropical country like India. Kakinada Bay situated in the east coast of India is made up of estuary of river Godavari covers an area of about 29.sq.kms. The Godavari d...

Research paper thumbnail of Optimization of spatial statistical approaches to identify land use/land cover change hot spots of Pune region of Maharashtra using remote sensing and GIS techniques

Geocarto International, 2016

Abstract This study investigated land use/land cover change (LULCC) dynamics using temporal satel... more Abstract This study investigated land use/land cover change (LULCC) dynamics using temporal satellite images and spatial statistical cluster analysis approaches in order to identify potential LULCC hot spots in the Pune region. LULCC hot spot classes defined as new, progressive and non-progressive were derived from Gi* scores. Results indicate that progressive hot spots have experienced high growth in terms of urban built-up areas (20.67% in 1972–1992 and 19.44% in 1992–2012), industrial areas (0.73% in 1972–1992 and 3.46% in 1992–2012) and fallow lands (4.35% in 1972–1992 and −6.38% in 1992–2012). It was also noticed that about 28.26% of areas near the city were identified as new hot spots after 1992. Hence, non-significant change areas were identified as non-progressive after 1992. The study demonstrated that LULCC hot spot mapping through the integrated spatial statistical approach was an effective approach for analysing the direction, rate, spatial pattern and spatial relationship of LULCC.

Research paper thumbnail of A Multi-Scale Feature Extraction Approach to Improve Land Use / Land Cover Classification Accuracy using IRS LISS-IV Imagery

Remote Sensing of Land, 2016

The study presents an approach to map Land Use / Land Cover Change (LULCC) at large scale and pro... more The study presents an approach to map Land Use / Land Cover Change (LULCC) at large scale and processing techniques that permit higher accuracy. IRS RESOURCESAT-2 LISS-IV images of Nellore district of Andhra Pradesh were used to apply the classification technique. In multi-scale feature extraction approach LULCC takes two forms i.e. conversion from one category of LULCC to another and modification of condition within a category. Thus, major LULCC classes were extracted using object based approach and uncertain classes were identified using onscreen knowledge based method. The results showed in 2009, the accuracy of cropland, water body and built-up segments were 99.3%, 94.79% and 89.72%, respectively, whereas, in 2013 the accuracies were 94.31%, 88.26% and 81.20%, respectively. Hence, this classification approach can be useful in different landscape structure over the time, which can be quantified and assessed to achieve a better understanding of the land cover.

Research paper thumbnail of Monitoring land use with reference to aquaculture in Chinna Cherukuru village of Nellore district, Andhra Pradesh, India – A Remote Sensing and GIS Based Approach

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014

The present study focuses on the dynamics of conversion of agricultural land to aquaculture over ... more The present study focuses on the dynamics of conversion of agricultural land to aquaculture over a decade from 1995 to 2013 in Chinna Cherukuru Village (Thotapalligudur Mandal) in Nellore District of Andhra Pradesh State, India. <br><br> Multi temporal satellite data from 1995's medium resolution to high resolution IRS LISS IV & Cartosat of 2013 time frame was analysed and mapped using RS & GIS techniques to monitor the dynamics of land transformation from agriculture to aquaculture (1995's) and conversion back to agriculture in 2013. <br><br> It was observed that, in 1995 aquaculture was practiced to an extent of 62.35 hectares which accounts to 9.48 % of the Total Geographic Area (TGA) of the village (658.01 hectares), whereas in 2001 there is a major conversion from agricultural land to aquaculture accounting to an extent of 237.01 hectares or 36.01 % of total village area . However, thereafter there was a significant conversion back to agriculture...

Research paper thumbnail of Automated Algorithm for Extraction of Wetlands from Irs Resourcesat Liss III Data

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012

Wetlands play significant role in maintaining the ecological balance of both biotic and abiotic l... more Wetlands play significant role in maintaining the ecological balance of both biotic and abiotic life in coastal and inland environments. Hence, understanding of their occurrence, spatial extent of change in wetland environment is very important and can be monitored using satellite remote sensing technique. The extraction of wetland features using remote sensing has so far been carried out using visual/ hybrid digital analysis techniques, which is time consuming. To monitor the wetland and their features at National/ State level, there is a need for the development of automated technique for the extraction of wetland features. A knowledge based algorithm has been developed using hierarchical decision tree approach for automated extraction of wetland features such as surface water spread, wet area, turbidity and wet vegetation including aquatic for pre and post monsoon period. The results obtained for Chhattisgarh, India using the automated technique has been found to be satisfactory, when compared with hybrid digital/visual analysis technique.

Research paper thumbnail of Potential landfill site suitability study for environmental sustainability using GIS-based multi-criteria techniques for nashik and environs

Environmental Earth Sciences, 2022

Research paper thumbnail of Spatial Analysis of Land Use/Land Cover over India Using Satellite Based Remote Sensing Techniques

Land use/land cover information is the basic prerequisite for land and water resource utilisation... more 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.

Research paper thumbnail of Land Use /Land Cover Study of Saarc Countries: Nepal, Sri Lanka and Bangladesh

Research paper thumbnail of Remote Sensing and Gis Based Approach for Environmental Sensitivity Studies a Case Study from Indian East Coast

In the wake of Earth Summit – 2002 resolutions, and also the recently omni-prevalent environmenta... more In the wake of Earth Summit – 2002 resolutions, and also the recently omni-prevalent environmental awareness across the globe, it has become imperative to pay attention to environmental concerns, and to standardize the procedures, wherever possible. A big step in this direction was the development of Environmental Sensitivity Indices (based on different events and parameters). NOAA and USEPA have taken lead on this front in USA and have got developed Environmental Sensitivity Index (ESI) for coastal areas, and Reach Sensitivity Index (RSI) for inland riparian and lacustrine areas, which have become bench, marks for further research in this direction. The present paper focuses on the application of remote sensing and GIS technologies for deriving the RSI and ESI; and also the validity of the indices in the context of a tropical country like India. Kakinada Bay situated in the east coast of India is made up of estuary of river Godavari covers an area of about 29.sq.kms. The Godavari d...

Research paper thumbnail of Optimization of spatial statistical approaches to identify land use/land cover change hot spots of Pune region of Maharashtra using remote sensing and GIS techniques

Geocarto International, 2016

Abstract This study investigated land use/land cover change (LULCC) dynamics using temporal satel... more Abstract This study investigated land use/land cover change (LULCC) dynamics using temporal satellite images and spatial statistical cluster analysis approaches in order to identify potential LULCC hot spots in the Pune region. LULCC hot spot classes defined as new, progressive and non-progressive were derived from Gi* scores. Results indicate that progressive hot spots have experienced high growth in terms of urban built-up areas (20.67% in 1972–1992 and 19.44% in 1992–2012), industrial areas (0.73% in 1972–1992 and 3.46% in 1992–2012) and fallow lands (4.35% in 1972–1992 and −6.38% in 1992–2012). It was also noticed that about 28.26% of areas near the city were identified as new hot spots after 1992. Hence, non-significant change areas were identified as non-progressive after 1992. The study demonstrated that LULCC hot spot mapping through the integrated spatial statistical approach was an effective approach for analysing the direction, rate, spatial pattern and spatial relationship of LULCC.

Research paper thumbnail of A Multi-Scale Feature Extraction Approach to Improve Land Use / Land Cover Classification Accuracy using IRS LISS-IV Imagery

Remote Sensing of Land, 2016

The study presents an approach to map Land Use / Land Cover Change (LULCC) at large scale and pro... more The study presents an approach to map Land Use / Land Cover Change (LULCC) at large scale and processing techniques that permit higher accuracy. IRS RESOURCESAT-2 LISS-IV images of Nellore district of Andhra Pradesh were used to apply the classification technique. In multi-scale feature extraction approach LULCC takes two forms i.e. conversion from one category of LULCC to another and modification of condition within a category. Thus, major LULCC classes were extracted using object based approach and uncertain classes were identified using onscreen knowledge based method. The results showed in 2009, the accuracy of cropland, water body and built-up segments were 99.3%, 94.79% and 89.72%, respectively, whereas, in 2013 the accuracies were 94.31%, 88.26% and 81.20%, respectively. Hence, this classification approach can be useful in different landscape structure over the time, which can be quantified and assessed to achieve a better understanding of the land cover.

Research paper thumbnail of Monitoring land use with reference to aquaculture in Chinna Cherukuru village of Nellore district, Andhra Pradesh, India – A Remote Sensing and GIS Based Approach

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014

The present study focuses on the dynamics of conversion of agricultural land to aquaculture over ... more The present study focuses on the dynamics of conversion of agricultural land to aquaculture over a decade from 1995 to 2013 in Chinna Cherukuru Village (Thotapalligudur Mandal) in Nellore District of Andhra Pradesh State, India. <br><br> Multi temporal satellite data from 1995's medium resolution to high resolution IRS LISS IV & Cartosat of 2013 time frame was analysed and mapped using RS & GIS techniques to monitor the dynamics of land transformation from agriculture to aquaculture (1995's) and conversion back to agriculture in 2013. <br><br> It was observed that, in 1995 aquaculture was practiced to an extent of 62.35 hectares which accounts to 9.48 % of the Total Geographic Area (TGA) of the village (658.01 hectares), whereas in 2001 there is a major conversion from agricultural land to aquaculture accounting to an extent of 237.01 hectares or 36.01 % of total village area . However, thereafter there was a significant conversion back to agriculture...