A5042827309- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Building Energy and Comfort Optimization
- Remote Sensing and Land Use
- Land Use and Ecosystem Services
- Energy Load and Power Forecasting
- Agricultural Economics and Practices
- Urban Heat Island Mitigation
- Geographic Information Systems Studies
- Climate variability and models
- Soil and Land Suitability Analysis
- Smart Agriculture and AI
- Precipitation Measurement and Analysis
- Energy Efficiency and Management
- Greenhouse Technology and Climate Control
- Spectroscopy and Chemometric Analyses
- Municipal Solid Waste Management
- Geochemistry and Geologic Mapping
- Hydrology and Watershed Management Studies
- Remote Sensing and LiDAR Applications
- Diverse Aspects of Tourism Research
- Flood Risk Assessment and Management
- Advanced Image Fusion Techniques
- Impact of Light on Environment and Health
- Human Mobility and Location-Based Analysis
Indian Institute of Remote Sensing
2014-2024
Govind Ballabh Pant University of Agriculture and Technology
2023
Indian Space Research Organisation
2021-2023
XIM University
2020-2023
Forest Survey of India
2022
Xavier University
2018
Institute of Engineering
2014
The cropping pattern (rotation) of a region depends on the soil, water availability, economic conditions and climatic factors. Remote sensing is one effective tools that can provide precise up-to-date information performance agricultural systems. Four seasons data from Indian Sensing Satellite (IRS)-P6 Advanced Wide Field Sensor (AWiFS) were used for generation Uttar Pradesh by geographic system (GIS)-aided integration digitally classified crop land use inventories kharif, rabi zaid seasons....
Abstract. National Biodiversity Characterization at Landscape Level, a project jointly sponsored by Department of Biotechnology and Space, was implemented to identify map the potential biodiversity rich areas in India. This has generated spatial information three levels viz. Satellite based primary (Vegetation Type map, locations road & village, Fire occurrence); geospatially derived or modelled (Disturbance Index, Fragmentation, Biological Richness) referenced field samples plots....
Distance learning is the process of creating an educational experience equal qualitative value for learner to best suit their needs outside classroom. Learning Program (DLP) offered by Indian Institute Remote Sensing (IIRS), Space Research Organisation (ISRO), has witnessed steady growth in last thirteen years benefitted more than 2.65 lakh participants from 2650 network institutes distributed across country. Under this program, IIRS successfully established a academic and professional...
Abstract. Uttarakhand State of India suffered a widespread devastation in June 2013 due to floods caused by excessive rain the upper reaches Himalaya, glacial lake outburst flood (GLOF) and landslides. Restoration process this mountainous calls for scientifically sound planning so that vulnerabilities risks such natural hazards are minimised developmental processes sustainable long run. Towards this, an understanding patterns major controls damage recent disaster is key requirement which can...
Purpose The rapid urbanization of Indian cities and the population surge in has steered a massive demand for energy, thereby increasing carbon emissions environment. Information technology advancements, aided by predictive tools, can optimize this energy help reduce harmful emissions. Out multiple factors governing consumption comfort buildings, indoor room temperature is critical one, as it envisages need regulating temperature. This paper aims to propose mathematical model short-term...
Abstract. The problem of Urban Municipal solid waste disposal is a challenging task faced by civic bodies and planning authorities in almost all the cities rapidly developing countries like India. A similar situation being Dehradun, capital, fastest growing city Uttarakhand, In current study, an attempt has been made to find out suitable sites for area around Dehradun using Geospatial Multi-criteria Decision Analysis (MCDA) techniques from remote sensing data. Two different decision rules...
Hyperspectral remote sensing has been a research focus in recent years for various landcover applications. Remote Sensing (HRS) sensors are majorly utilized detailed Land Use Landover (LULC) studies which not plausible using Multispectral (MRS) sensors. But, availability of HRS is limited due to the requirement sophisticated instrument its fabrication, makes cost and acquisition cumbersome exorbitant. In present study, spectral reconstruction approach simulation hyperspectral data from...
With the ever-increasing need to manage and conserve ecosystem, as well growing business potential for tourism, it is becoming increasingly important address align these two domains. Ecotourism enters scene provide a solution anthropogenic interruptions at ecological tourist sites, with its sustainable maintenance development of both environment local communities closely related natural ecosystems. Tourism one most valuable industries in India world, accounting considerable portion...
Urban expansion, water bodies and climate change are inextricably linked with each other. The macro micro level changes leading to extreme precipitation events which have severe consequences on flooding in urban areas. Flood simulations shall be helpful demarcation of flooded areas effective flood planning preparedness. temporal availability satellite rainfall data at varying spatial scale 0.10 0.50 is near real time simulations. present research aims analysing stream flow runoff monitor...
“Smart cities” start with Buildings” that improve the quality of urban services while ensuring sustainability. The current scenario in India reveals corporate and residential building structures are incorporating various self-sustainable techniques. Out multiple factors governing comfort smart buildings, indoor room temperature is an important one, since it drives need cooling or heating through controlling systems. Around one-third total energy consumption commercial buildings attributed to...
Technology scaling has enabled us to integrate both memory and logic circuits on a single chip.However, the performance of embedded its peripheral can adversely affect speed power overall system.Sense amplifier is one important in as it strongly influences access times.It retrieves stored data from array by amplifying small differential signal bit lines.Therefore, dissipated within on-chip caches, active standby will become dominant parts total consumption chip.In view above, there apparent...
Identifying the suitability of a horticulture fruit with defined area is an active research area, it has been attempted through different approaches, surveying and geographic information system are two most popular techniques utilized extensively for this activity across globe. GIS its proven advantage over field surveys based approach modern tools offers automation entire work flow activity. This study presents web-based land analysis kiwi cultivation in Champawat District Uttarakhand,...
Multispectral remote sensing (MRS) sensors have proved their potential in acquiring and retrieving information of Land Use (LULC) Cover features the past few decades. These MRS sensor generally acquire data within limited broad spectral bands i.e. ranging from 3 to 10 number bands. The bandwidth becomes a limitation detailed LULC studies as it is not capable distinguishing spectrally similar features. On counterpart, fascinating available hyperspectral (HRS) over determined able distinguish...
Abstract. The processing of hyperspectral remote sensing data, for information retrieval, is challenging due to its higher dimensionality. Machine learning based algorithms such as Support Vector (SVM) preferably applied perform classification high dimensionality data. A single-step unified framework required which could decide the intrinsic data and achieve accuracy using SVM. This work present development a SVM-based reduction (SVMDRC) proposed was tested at Los Tollos in Rodalquilar...