Laxmi Goparaju

Vindhyan Ecology and Natural History Foundation, Mirzapur,India · Ecology and Remote Sensing

Malaria is a mosquito-borne infectious disease that affects humans posing as a severe public health problem in which Nigeria has the highest number of global cases. Geospatial technology has been widely used to study the risk and factors associated with malaria hazard. The present study is conducted in Ibadan, Oyo state, Nigeria. The objective of t...

Understanding the spatiotemporal distribution of forest fires and future predictions is very important for management strategies. To identify the present status of forest fires in the Kingdom of Thailand and their risk in the future, ten-year forest fire data were used, and a forest fire hotspot was prepared. A geospatial technique was used in the...

In the recent past, forest fires have increased due to the changing climate pattern. It is necessary to analyse and quantify various gaseous emissions so as to mitigate their harmful effects on air pollution. Satellite remote sensing data provides an opportunity to study the greenhouse gases in the atmosphere. The multispectral sensor of the Tropos...

Scaling-up agroforestry areas in various forms is a scientific path towards achieving various sustainable development goals (SDGs), especially improving livelihood, reducing poverty, conserving environment and biodiversity, and transforming climate change. In this study, the effort was made to investigate the land potentiality for agroforestry at t...

Agroforestry has gained attention because of its diverse roles ranging from direct economic to sustainable environment. The present study is an attempt to understand the land potentiality of Afghanistan to scale agroforestry restoration planning in the country. The potential agroforestry suitable areas were achieved through the Geographical Informa...

This article is composed of three independent commentaries about the state of Integrated, Coordinated, Open, Networked (ICON) principles (Goldman, et al., 2021b, https://doi.org/10.1029/2021EO153180) in Earth and Space Science Informatics (ESSI) and includes discussion on the opportunities and challenges of adopting them. Each commentary focuses on...

This e-book is designed to educate extension workers, students, research scholars, academicians related to the agri-allied sector.

The study utilized the tree covers per cent, agroforestry suitability, present and future (2050) climate, agriculture vulnerability (2050), percentage of people living Below Poverty Line (BPL) data sets and manoeuvered them in GIS platform to understand the agroforestry extent, potentiality and the critical multidimensional relationship among them....

The present study assesses the temporal dynamics of above ground biomass (AGB) in Kaimoor Wildlife Sanctuary (KWS), Uttar Pradesh, India using series of Landsat data for the years 1989, 2000, 2010 and 2018. The satellite images were preprocessed for surface reflectance, and subsequently we computed Normalized Difference Vegetation Index (NDVI), Soi...

The present study examined the geospatial datasets concerning fire points, topography, vegetation types, tree cover percent, ecological zone, and climate to understand the prospects of forest fire in Nepal. The GIS-based modeling approaches in association with multispectral satellite-derived data were used for future fire prediction in villages. Th...

Title of the dataset: Land Potential Datasets for Agroforestry of South Asia Description: The dataset is modeled and analyzed in the GIS domain using diversified datasets of land, climate, topography, and soil in a large continuous swath of the South Asian subcontinent with countries including, Afghanistan, Bangladesh, Bhutan, India, Nepal, Pakist...

Trees provide a wide range of benefits and have the potential to meet the majority of the United Nations Sustainable Development Goals. The study used different geospatial datasets of land, soil, climate and topography for modeling and mapping and identifying a potentially suitable area for trees in Nepal. Additionally, tree suitability categories...

The study applied the soil, land and topographic data for analyzing the potentiality of land for trees /crops suitability in the Gumla district of Jharkhand, India. The remote sensing, GIS and GIS modeling techniques were used to achieve the goal. The soil fertility, soil wetness, and slope map are scientifically produced and integrated to find out...

Trees are an integral part of the sustainable farming practices that can withstand extreme weather events, pest risks, and optimize land and water productivity to achieve food, fuel, fodder and nutritional security while safeguarding the environmental flows. This study was undertaken to analyze the landscape potential for the South Asian region in...

The ecological footprint has far surpassed the biocapacity of our globe to fulfill the current requirement of the people living on the earth which needs sustainable vision with synergic alternative/option to meet the current human demand without compromising the need for the future generation. We examined the various SDGs goals with respect to agro...

We have analyzed the geospatial datasets such as precipitation, runoff, soil moisture, aridity, soil degradation, and future (2050) climate of India and investigated the spatial distribution pattern at the watershed level. Furthermore, we have investigated the long-term TerraClimate present decadal (2006–2015) trend with 20 years back decadal (1976...

Geospatial technology has an enormous capacity to analyze large and diversified datasets for evaluating the hidden spatial relationship which provides a better comprehension of the subject and helps significantly in policymaking and planning future strategies. This study has examined the relationship among diversified remote sensing and GIS dataset...

Climate change is now widely recognized as the major environmental threat occurring mainly due to increasing greenhouse gases in the atmosphere and causing the extinction of biodiversity and enhances disruptions to ecosystems. Climate change risks are found to be very significant and would have a profound impact on the livelihoods of millions of po...

The article Analysis of Seasonal Precipitation, Potential Evapotranspiration, Aridity, Future Precipitation Anomaly and Major Crops at District Level of India, written by Laxmi Goparaju and Firoz Ahmad, was originally published electronically on the publisher’s internet portal on 5 June 2019 without open access. With the author(s)’ decision to opt...

Background. Tropical dry deciduous forests are the most vulnerable ecosystems for fragmentation. Satellite remote sensing data (of various resolutions and temporal availability) helps to study the forest fragmentation at local, regional and global scale. Spatial distribution of fragments at regional scale would provide insight into restoration and...

Agroforestry system has the enormous capacity to achieve social, economic, and environmental goals by optimizing land productivity. The aim of the present study was to evaluate the land potentiality in India for agroforestry based on FAO land suitability criteria utilizing various land, soil, climate, and topographic themes. This was achieved in GI...

Unfortunately, in the original publication of the article, in Abstract and Results and discussion some percent values are written incorrectly. In Abstract the 4th sentence was written as ‘The analysis of land potentiality in India for agroforestry suitability reveals 32.8% as highly suitable (S1), 40.4% moderately suitable (S2), 11.7% marginally s...

Climate change has very significant impact on livelihoods and food security. The geospatial technology provides a better understanding of various themes related to climate change. This study examined the seasonal (kharif, rabi and zaid) long term (1970-2000) monthly climatic parameters such as precipitation, potential evapotranspiration over the co...

Climate-induced risks are very significant in these days and will impact the agriculture crop production because of the change in hydro-climatic condition. Remote sensing and GIS framework provide scientific understanding in practical application systems with the sustainable solution in new climate change reality and support significantly in resili...

It is essential to study forest fire occurrences and the climate of any region to address the issue of forest fire vs global warming and global climate change. Studies at regional and global level help to understand the forest fire characterization microscopically. The present study has made an assessment of the long-term forest fire events in the...

Agroforestry has potential for achieving agricultural sustainability having capacity of optimizing its productivity by mitigating climate change impacts. The aim was to find such land patches which can be potentially mapped as suitable and fertile for agroforestry projects and to find out land-use systems which can play a pivotal role in poverty er...

This study has utilized the remote sensing and GIS datasets such as tree cover, harmonized land cover, agriculture mask and ancillary source of India for better comprehension of tree cover percent distribution in geographical territory/vegetation classes/agro-ecological zones/agriculture landscapes. The study revealed in the year 2000 the forest ar...

Climate change and its severity play an important role in forest fire regime. Analysing the forest fires events becomes a prerequisite for safeguarding the forest from further damage. We have made an assessment of the long-term forest fire events at the district level in India and identified the forest fire hotspot districts. The spatial seasonal (...

The paper deals with various thematic parameters such as agriculture crop scenario (2000, 2010), water stress, precipitation trend and deficit, climate-induced risk towards crops, drought-prone area, suicide attributes of farmers, agro-ecological regions, prediction of future (2050) precipitation and temperature variation during kharif and rabi sea...

In the present study, we evaluated the long term MODIS fire counts with the grid spacing 1° × 1° over the part of continent of Asia. The grid show high percent of fire events was assigned to high risk grid. The study further evaluated three selected 2 × 2 window representing the risk grid. We have analyzed the fire events along various vegetation t...

The dynamic changes in the regimes of forest fires are due to the severity of climate and weather factors. The aim of the study was to examine the trend of forest fires and to evaluate their relationship with climate parameters for the state of Telangana in India. The climate and forest fire data were used and uploaded to the GIS platform in a spec...

Vegetation health of any ecosystem and changes in it are vital in global change in ecology and it is delicately linked to climate change. This study evaluated the spatial patterns of significant negative change trend using composite NOAA-AVHRR data time series (1982–2006), long term forest fire point data, invasive hotspot data and predicted climat...

Analysing the forest fires events in climate change scenario is essential for protecting the forest from further degradation. Geospatial technology is one of the advanced tools that has enormous capacity to evaluate the number of data sets simultaneously and to analyse the hidden relationships and trends. This study has evaluated the long term fore...

The present study examined the relationship among various diversified datasets using remote sensing and GIS. About 72% of the total forest area of Chhattisgarh state (59,935 km2) has shown a trend of negative change between the periods (1982 and 2006). Around 50% of the total forest fires of the state were found in the two tehsils of Narayanpur and...

Geospatial evaluation of various datasets is extremely important because it gives a better comprehension of the past, present and future and can therefore be significantly utilized in effective decision making strategies. This study examined the relationships, using geospatial tools, between various diversified datasets such as land use/land cover...

We have examined the climate and forest fire data using Remote Sensing and GIS in the state of Himachal Pradesh and Uttarakhand states of India. The significant high forest fire events were observed in district of Pauri Garhwal (22.4%) followed by Naini Tal (16.4%), Tehri Garhwal (8.5%), Almora (7.7%), Chamoli (5.8%), Dehra Dun (4.6%), Uttarkashi (...

The video presentation explain how Remote Sensing/GIS can be suitably utilized in urban planning for Ranchi city.

Agroforestry provides the foundation for climate-smart agriculture to withstand the extreme weather events. The aim of the present study was to identify the land of Samastipur, Bihar, India for agroforestry, based on GIS modeling concept utilizing various ancillary (soil fertility) and satellite data (DEM, wetness, NDVI and LULC) sets. This was ach...

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An integrated approach was adopted to evaluate the three threats that are a forest fire, deforestation and forest fragmentation using remote sensing and GIS data with a synergistic approach for spatial assessment and analysis.

Fire events are an increasing phenomenon these days due to the climate change. It is responsible for forest degradation and habitat destruction. Changes in ecosystem processes are also noticed. The livelihood of tribal population is also threatened. Geospatial technologies along with Remotely Sensed data have enormous capability to evaluate the var...

The dynamic changes of forest fire events are due to the swing of climate parameter. Geospatial technology has strong capability to analyze various thematic datasets towards visualization of spatial/temporal pattern and plays a vital role in fire management efforts. This paper aims to analyze the climate and forest fire trend using Geospatial techn...

Agroforestry has tremendous potential for poverty alleviation, alternate food security instrument and attempts to improve quality of fallow and abandoned land. Nonetheless, with advent of new technologies the practices of agroforestry can be scaled up as technology potentially predicts areas which have relatively higher suitability. Satellite data...

Various GIS map created for Agroforestry suitability mapping from different source.

The tropical dry deciduous forests of Mirzapur district in Uttar Pradesh (state) in India are facing to severe threat from agricultural expansion, increased urbanisation, infrastructure development and unsustainable use of forest produce. The forests are nowadays fragmented and wildlife habitat is vanishing. Decreasing numbers of wild animal specie...

In view of climate change scenario, the increasing population, higher food demand and deteriorating land productivity are the key issues which need to be addressed in present time frame because it will be more critical in the future. The scientific evaluation of land for agroforestry is a step towards sustainability for achieving the socio-economic...

Background: The environment and habitat are the important aspects of the forest ecosystem. The continuous changes in the environment due to natural phenomenon or human actions have degraded the forest and wildlife habitat thus causing a decline in their population. Therefore it is important to study wildlife habitat in order to ensure their surviva...

Aerial imagery have long been used for forest Inventories due to the high correlation between tree height and forest biophysical properties to determine the vertical canopy structure which is an important variable in forest inventories. The development in photogrammetric softwares and large availability of aerial imagery has carved the path in 3D m...

Monitoring and management of forest fire is imperative in India where 50% of forest cover is prone to the fire. The study aims for applying the geospatial technology towards forest fire characterization and evaluation of relationship with meteorological thematic layers. Spatial analysis of forest fires in the state of Arunachal Pradesh was carried...

Crime is a social stigma which needs to be addressed beyond talks. In developed country Geospatial technology has become well established within the criminology and forensic fields in recent past. In order to achieve this proper database of various crimes (state/ district level) should be available for decision making. The present study was an atte...

This study has analysed the Landsat 8 OLI data (December 2016) to delineate the various land use/land cover classes of the area which will be submerged by the proposed Daudhan/Greater Gangau Dam, which is part of the proposed Ken Betwa River Link Project (in the Madhya Pradesh state of India) and also the area likely to be submerged in the Panna Ti...

Forest fires are a major threat to the existence of forests these days due to climate change and global warming scenario. The present study utilizes geospatial techniques to analyze the incidences of forest fires events from the year 2005 to 2016 in the Jharkhand state of India. Forest fire hotspot areas within the state were identified. The analys...

Video the prevalence of forest fire on dated 3rd April 2017 can be seen in Simariya block of Chatra district, Jharkhand.