Swapnil S Vyas

• PhD Science
• Professor (Assistant) at Savitribai Phule Pune University

The untimely onset and uneven distribution of south-west monsoon rainfall lead to agricultural drought causing reduction in food-grain production with high vulnerability over semi-arid tract (SAT) of India. A combined deficit index (CDI) has been developed from tri-monthly sum of deficit in antecedent rainfall and deficit in monthly vegetation vigo...

Real-time data of reference evapotranspiration (ET0) at different space-time scales are essential to regional agricultural drought assessment, water accounting at watershed to basin scale, and provide irrigation advisory to farmers. Here, we present a data-fusion approach that integrates satellite-based insolation product (8 km) from Indian geostat...

Drought has negative impact on agriculture, ecosystem and livelihood. Several indices are developed to monitor and measure the intensity of drought. Standardized Precipitation Evapotranspiration Index (SPEI) is a new drought index that considers the rainfall and evapotranspiration to monitor drought. The data for last 34 years (1980-2014) were util...

Remote sensing data from Indian geostationary satellites (Kalapana-1, INSAT 3A) were used for the first time for early warning of agricultural drought and forewarning of crop vigour. An Early warning indicator (EWI) was developed from operational product of rainfall and reference evapotranspiration from observations of Kalpana-1 very high resolutio...

Mangrove forests, being high-yielding ecosystems, often dominate the intertidal sites along equatorial and subtropical coasts. Despite the known significance of mangroves to the coastal ecology, especially Bsh-eries, deforestation remains a severe danger due to coercion for forest products, ground transformation for aquaculture, and seaside urban g...

Mapping of mangrove extent is considered one of the important aspects of management and monitoring of the mangrove ecosystem as they play a vital role in protecting the areas along the coast. Mangroves have a unique habitat consisting of various marine and land organisms that are indigenous to the region and play a key role in maintaining the balan...

Analyzing the rate and nature of climate change is imperative in order to assess its impact on the different components of the Earth system and their interlinkages. This chapter discusses the various methods used to measure evapotranspiration (ET), an indicator of surface-atmosphere water exchange and briefly explains the ET projections for future...

The present research study attempts to make a comprehensive evaluation of agricultural drought conditions across the states of Gujarat, Maharashtra, and Karnataka from 2009 to 2013 using the Water Scalar Index, which is a normalized index based on satellite data. The study utilizes daily rainfall data from the Indian geostationary satellite, Kalpan...

Submission date Extended to 15th September 2024 This book introduces the reader to applications of Machine Learning (ML) in Earth Sciences. In detail, it describes the basic application of machine learning algorithms and models and their potential in Earth Sciences. It describes the use of several tools and software used for ML and their typical w...

Purpose This study aims to understand how climatic drivers of change will affect rural communities living in the hot semiarid region of Bhokardan Taluka of Jalna district in the Indian state of Maharashtra. In the context of the economic and social change they are experiencing, the concern is to evolve ways that enable them to cope with, adapt to a...

Koh-i-Noor and other world-famous diamonds such as Hope, Orloff, Great Mogul, Nizam, and Pitt, well-known in the industry as ‘Golkonda Diamonds’ are very well recognised for their rare colours, large carat sizes, and because of the paucity of nitrogen atoms majority of them have been classified as Type IIa diamonds. These renowned Golkonda diamonds...

Mt. Kangchenjunga is the world’s third highest peak and India’s highest mountain. Perennial snow and ice melt from Kangchenjunga is used for irrigation, hydropower generation, bioresource production, and domestic water demand in the Brahmaputra’s catchments and alluvial plains. The melting of glaciers around the world becomes one of the most common...

An integrated study of the different aspects of drawdown area farming in the submergence area of water retaining structures is presented. The aspects considered are soil, water, changing land use patterns and socio-economic impact of the rural community and are closely related in the framework of sustainable farming. Soil analysis shows that in Ban...

Wetlands are transition zones between terrestrial and aquatic systems accounting for one of the valuable natural resource. With the ever-changing climatic conditions, the wetland resources are affected in varying degree. Mapping the seasonal changes and the diversity in the wetland region is crucial for monitoring, management, and restoration of th...

Global warming has been affecting human lives worldwide, but this is occurring more rapidly in recent years due to various human activities. The Earth's temperature has increased by 1.5 degrees, leading to change in weather conditions and subsequently affecting rainfall in a year. The increase and decrease in rainfall have directly impacted the lan...

Being resilient is a continuous endeavor and building resilience in a climate varying context presents challenges for adaptation planning. Some of these challenges, besides others, are transiting from vulnerability assessments to a contextual adaptation plan and shifting from capacity building to developing an “adaptive capacity” to undertake “low/...

The study attempts to understand how the climatic drivers of change affect the land and water resources, agriculture and livestock, the main livelihood sources of the people. It also helps to understand how these will affect rural communities in the context of the economic and social change they are experiencing and evolve ways that will enable the...

Under the present study estimation of high resolution soil moisture (SM) under Pan India mode using simple water balance method and from satellite data has been explored. It aims at the simple calculation of soil moisture followed by verification with ground truth data of SM on spatial and temporal scale (WC) as climatic input. The model has been v...

Quantification of assured solar energy potential is essential to select locations for solar photovoltaic, thermal power plants and to quantify solar power potential. The use of remote sensing observations from geostationary satellite sensors is ideal to capture space-time variability of surface insolation. The annual clear solar energy exposure ove...

Agriculture productivity at spatio-temporal scales can be modelled through quantification of biophysical parameters like LAI (leaf area index) and radiation parameters from satellites. The Indian geostationary satellite INSAT 3A CCD was used to retrieve agricultural LAI at regular temporal intervals from the ProSail 1-D (Dimensional) canopy radiati...

Satellite remote sensing technology is increasingly gaining recognition as an important source of operational agro meteorological services. Spatial daily rainfall product from geostationary satellite is one of the important data source for quick evaluation of suitability of sowing conditions and other economically relevant agricultural operations (...

The crop area estimates and their frequent updates in an agricultural growing season are essential to formulate policies of country’s food security. A new methodology has been developed with high temporal vegetation index data at 1000 m spatial resolution from Indian geostationary satellite (INSAT 3A) to track progress of country-scale rabi (post-r...

Accurate representation of leaf area index (LAI) from high resolution satellite observations is obligatory for various modelling exercises and predicting the precise farm productivity. Present study compared the two retrieval approach based on canopy radiative transfer (CRT) method and empirical method using four vegetation indices (VI) (e.g. NDVI,...

In season monitoring of rabi progress area has been done from Indian geostationary satellite INSAT 3A CCD data. It provides regular daily NDVI product over Indian land mass at 1km x 1km spatial resolution at 60 minute interval. The NDVI data from October 1 to March 31 was used to estimate rabi progress area. 10-day NDVI stack was used to generate N...

Monitoring of Agricultural crops using remote sensing data is an emerging tool in recent years. Spatial determination of sowing date is an important input of any crop model. Geostationary satellite has the capability to provide data at high temporal interval to monitor vegetation throughout the entire growth period. A study was conducted to estimat...

Space born systems like Geoscience Laser Altimeter System (GLAS) onboard collect data for ice, cloud and Land. Elevation satellite (ICESat) collects an unparalleled data set as waveform over terrestrial targets, helps in evaluating the global elevation data. In this study we compared the Digital Elevation Surface (DES) generated by Cartosat-1 point...