Prachi Singh

Banaras Hindu University | BHU · Insitiute of environment and sustainable development

Accurate estimation of evapotranspiration is generally constrained due to lack of required hydrometeorological datasets. This study addresses the performance analysis of reference evapotranspiration (ETo) estimated from NASA/POWER, National Center for Environmental Prediction (NCEP) global reanalysis data before and after dynamical downscaling thro...

Forests play an essential role towards net primary productivity, biological cycles and provide habitat to flora & fauna. To monitor key physiological activities in forest canopies such as photosynthesis, respiration, transpiration, spatially-explicit and precise information of the biochemical (biological) variables such as leaf chlorophyll content...

The high dimensional hyperspectral data due to its narrow bands ranging between 250-3500 nm, becomes a serious issue for data processing and analysis. Selection of optimal absorbance spectral bands from original spectra brings great possibility in removing the redundancy, quantifying pigments such as chlorophyll, carotenoids, anthocyanin and the re...

With the development in sensor technology, there is a spectroradiometer with resolution as high as 1nm and data capture extending from 350nm-2500nm; it helps in viewing spectral variability of the subject of interest. The advantage of such instruments opens up many opportunities for the development of hyperspectral data analysis in precision agricu...

The identification of crop diversity in today's world is very crucial to ensure adaptation of the crop with changing climate for better productivity as well as food security. Towards this, Hyperspectral Remote Sensing (HRS) is an efficient technique based on imaging spectroscopy that offers the opportunity to discriminate crop types based on morpho...

The leaf chlorophyll content (LCC) is a vital parameter that indicates plant production, stress, and nutrient availability. It is critically needed for precision farming. There are several multispectral images available freely, but their applicability is restricted due to their low spectral resolution, whereas hyperspectral images which have high s...

Hyperspectral Remote Sensing (HRS) data is vital for crop growth monitoring due to availability of contiguous bands. This research work provides a new novel crop estimator model given the name “Crop Stage estimator” developed using the HRS data on an open-source R platform. The generic model structure provides an easy way to test and modify the imp...

With the availability of high-resolution data due to sensor technology advancement, it is now easier for researchers and scientists to detect or view the spectral variability of different crops. For this study, Leaf chlorophyll content (LCC) and Leaf area index (LAI) of the crops Maize (Zea mays), Mustard (Brassica), and pink Lentils (Lens esculent...

Taxol drugs can be extracted from various species of the taxaceae family. It is an alkaloid (metabolic product) used for the treatment of various types of cancer. Since taxol is a metabolic product, multiple aspects such as edaphic, biochemical, topographic factors need to be assessed in determining the variation in Taxol Content (TC). In this stud...

Monitoring and management of rare and economically important species in the highly complex terrain are challenging and thus need advanced technological development. In this study, the hyperspectral radiometer data of Taxus wallichiana were acquired at highly complex terrain of the Pindari region of the Himalaya and processed by using several sophis...

Species diversity quantification is a crucial step towards the conservation of biodiversity and healthy ecosystem. The technological advancements and existing limitations of multispectral remote sensing has increased the popularity of hyperspectral remote sensing which found its use in the estimation of species diversity. The contiguous narrow band...

Spectroradiometry has gained popularity over conventional techniques and is now used in numerous fields, such as in hyperspectral remote sensing. Spectroradiometry allows the non‐destructive sampling of objects for retrieval of biochemical and biophysical properties to provide the user with critical information more quickly and cheaply. This is fac...

The present situation of groundwater tables is falling at a rapid rate, because regular withdrawal of groundwater is high compared to the recharge rate. This study focuses on the delineation of a groundwater potential zone in Lalganj Ajhara block, District Pratapgarh, Uttar Pradesh, using in situ vertical electric survey data, remote sensing (RS),...

Spatially explicit measurement of Above Ground Biomass (AGB) is crucial for the quantification of forest carbon stock and fluxes. To achieve this, an integration of Optical and Synthetic Aperture Radar (SAR) satellite datasets could provide an accurate estimation of forest biomass. This will also help in removing the uncertainties associated with t...

Chlorophyll is the main parameter of crops which directly influence the photosynthetic activity, overall health and also act as indicators of mutation, stress and nutritional status. Therefore, the estimation of the accurate chlorophyll content of the leaf leads to the significant assessments of crop growth, stress by disease and nutritional defici...

Interband information overlapping enhances redundancy in hyperspectral data. This makes identification of application-specific optimal bands essential for obtaining accurate information about foliar traits. The current study investigated the performance of three novel Band Selection (BS) algorithms (i.e. the Chi-squared-statistics based attribute e...

A real-time and accurate estimation of soil moisture content is a key factor for irrigation water management. For conventional and precision irrigation system, an irrigation demand tool is required that is economical, easy-to-use, has large-scale coverage, provides the users useful information on irrigation requirement and can be accessible on smar...

Rapidly changes in potential evapotranspiration can provide significant information in understanding of hydrologic processes as well as for agricultural crop performance. Such information can also prove to be useful in climate related studies. However, accurate measurements and predictions of evapotranspiration are difficult especially at large spa...

Recent advance hyperspectral remote sensing technology with narrow contiguous bands opened new ways to discriminate crop types and its stages. Crop biophysical and biochemical parameters such as Leaf area index, Chlorophyll, Vegetation Water Content (VWC) and Biomass are useful to discriminate crop stages. Present study was conducted during the rab...

Spatial distribution analysis of in-situ measurements within a study area using geostatistical approach is always a complex thing to perform. Present study deals with a geostatistical method to map the distribution of soil moisture and soil temperature throughout the study area using Hydra probe in-situ data. As soil moisture plays an important rol...

The availability of Airborne Visible and Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) data has enormous possibilities for quantification of Leaf Chlorophyll Content (LCC). The present study used the AVIRIS-NG campaign site of Western India for generation and validation of new chlorophyll indices by denoising the AVIRIS-NG data. For val...

After several years of research and development in hyperspectral imaging systems that enriched our knowledge and enhanced our capacity to explore the Earth, these systems have been widely accepted by the remote sensing community. They have evolved as major techniques and have now entered the mainstream of the earth observation data users. This chap...

The rapid development of remote sensing has made it possible to study environmental processes and changes in agriculture and also to provide important assistance in relevant practices, even operationally. This chapter describes the latest developments in remote sensing for precision agriculture with particular emphasis placed on the use of hyperspe...

Present study deals with an approach to investigate the change in Absorbing Aerosol Index (AAI) within the Indian region using GOME-2 satellite data and the impact of wind speed on AAI using geospatial technique.

Vegetation indices are the spectral transformation of two or more bands to improve the ability to detect variations in vegetation properties and allow spatiotemporal comparison of terrestrial photosynthetic activities. Present study examines three widely used vegetation indices to map and monitor the variation of land use features present within th...