
Firoz AhmadWorld Agroforestry Centre · CIFOR-ICRAF Associate, Geoinformatics, Asia Continental Program
Firoz Ahmad
Master of Technology
CIFOR-ICRAF Associate, Geoinformatics, Asia Continental Program, New Delhi, India
About
110
Publications
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Introduction
I won the eGovernance National Award 2020 by Government of India for significant contribution to the Project entitled ‘eForestFire- Himalayan Forest Fire Prediction’ for Arunachal Pradesh. https://static.pib.gov.in/WriteReadData/userfiles/National%20eGovernance%20Awardees%202020.pdf
He is selected among top 10 most productive authors in climate change and agriculture research in India in the year 2024 (Baraj et al., 2024). https://doi.org/10.1016/j.heliyon.2024.e29586
Education
July 1997 - March 1999
Publications
Publications (110)
Monitoring of land use and land cover (LULC) change is one important drivers of global change, which plays a decisive role on the management and sustainable developmental planning for urban spaces. The study aims to develop series of LULC maps of urban areas of Ranchi, India and was studied during the years 1989 and 2015. It predicts LULC changes u...
Introduction
Forest fires are increasing in terms of number, size, and extent which have a growing influence on the achievement of the Sustainable Development Goals (SDGs). The economy and ecology of Northeast India have been seriously impacted by forest fires in many places, it is important to comprehend the region's spatiotemporal distribution, s...
A literature review was carried out to prepare a checklist of ethnomedicinal plant species used by the Reang tribe of Northeast India. A total of 230 plant species, represented by 182 genera and 83 families, were listed along with their vernacular name, botanical name, family name, and mode of preparation for diseases. The prominent plant families...
In India, human-elephant conflict has been on the rise for the last few decades. The situation is worse in the state of Assam, where 5719 elephants are present, and the density of elephants is greater than that of other areas. Most of the elephant habitats in the state are fragmented or intermingled with human-used lands. As a result, human-elephan...
The study evaluated India’s bioclimatic, topographical, and ecological parameters for identifying the landscape potentiality for the restoration of afforestation strategies in Tree Outside Forest (TOF). Potentially suitable spatial factors such as decadal annual soil moisture, annual climate (precipitation, temperature, and aridity index), topograp...
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...
Geospatial and information technologies are now widely used in agricultural research and development, so their application in agroforestry research needs a scientific approach. Some of the applications are mapping of agroforestry areas, assessment of area under tree species on farmlands, and estimation of carbon sequestration in agroforestry system...
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...
Trees play vital roles in urban space such as regulating temperature in a microclimatic environment, maintaining soil health, providing oxygen, and many direct and indirect human health benefits. The study evaluated the bioclimatic parameters of the proposed Neom geographical area for identifying the potential landscape for tree scaling linked to b...
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 paper assesses the remote sensing datasets of biomass carbon on the agricultural landscape and their decadal change dynamics due to variation in tree cover dominance using geospatial technology in India. Remote sensing data showed that in the year 2000, 16.9% of all agricultural land (28.02 million hectares) in India had agroforestry land (at...
Increasing agroforestry areas is an important step to adapt to climate change, increase food security, and have many ecological
and socio-economical benefts. Proper planning and strategies are required for the assessment of land potential and selection
of suitable land for the multifunctional benefts of agroforestry. Remote sensing (RS) and geogr...
Connecting space to Farm: The high-resolution farm landscape potential grid map for micro-level agroforestry planning
Human–wildlife conflicts (HWCs) are escalating globally because of human population growth and increased per capita demand for and consumption of natural resources. These conflicts may be exacerbated where anthropogenic land uses are encroaching on designated conservation or protected areas. Large mammals, such as the Asian elephant (Elephas maximu...
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...
The eForestFire is a Fire Reporting System, an effort to ease governance by involving people and to promote e-Governance. With the help of the app, people of Arunachal Pradesh can report fire incidents of their nearby forest areas and can also be in direct touch with Divisional Forest Officers. Further, It helps improving Fire Predictive Model, tha...
e transport planning is essential to meeting passengers' needs for fast, safe, and reliable transport. e research goals of this study are to determine the most suitable mode of transport between predetermined alternatives according the criteria related to the transport planning. e research method combines GIS analysis, SWOT analysis, BEM method, an...
This MONOGRAPH gives a vivid description on the 'Mammals of northeastern India'. This contains the latest updated checklist of all the mammals of this India sub-region.
A systematic review was carried out to prepare a checklist of the mammalian species of northeastern India. The region is located between two prominent biodiversity hotspots, Himalaya and Indo-Burma. Though it is only 8% of the country, it supports almost half of the country’s total wild flora and fauna. Ongoing developmental activities such as the...
A systematic review was carried out to prepare a checklist of the mammalian species of northeastern India. The region is located between two prominent biodiversity hotspots, Himalaya and Indo-Burma. Though it is only 8% of the country, it supports almost half of the country’s total wild flora and fauna. Ongoing developmental activities such as the...
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...
Fire is among major threats to the world's forests, leading to tremendous biodiversity losses. Forest fire in India has greatly increased in the last few decades; the state of Arunachal Pradesh, a recognized Himalayan biodiversity hotspot, is extremely prone to this disaster. The objective of this study was to develop GIS integrated mapping of dire...
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...
Throughout the tropical regions, raising demands for the land due to the exponential growth of the human population has resulted in habitat loss and fragmentation for wildlife. Consequently, wild animals come out from the fragmented habitats and compete with the human for resources. In order to reduce this conflict, sustainable habitat management b...
Asiatic elephants are facing numerous direct and indirect anthropogenic threats throughout their geographical distributional range. Consequent to the land use and land cover change, habitat loss, fragmentation, and deterioration of the corridor status are the prime threats for the species. The current study aimed to delineate the routes and migrato...
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...
Beijing has an enormous transportation challenge: to relieve the extreme congestion that has arisen, largely due to overpopulation. To meet this challenge, the city administration has decided to extend its territory; a new city will be planned and built. This new city, Xiongan, will reduce the burden on the capital. A new high-speed railway (HSR) l...
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...
Please join us in thanking all those scientists and experts in the various fields represented in Natural Hazards for devoting time and effort to review the papers that we have been sending them. The Editors-in-Chief and publisher acknowledge the colleagues listed below for their excellent reviews of papers for which final decisions have been made d...
Fire is among major threats for the world‟s forests which lead to tremendous loss to the bio-diversity and changes in several ecosystems. Forest fire destroys millions of hectares of the world‟s forests every year, amounting to loss of human property and wildlife apart from release of tons of carbon to the atmosphere, raises costs on fire suppressi...
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...
Urban population growth and urbanization with its impact on urban planning require continuous research in order to address the challenges posed by transportation requirements. Identifying transportation capacity (road and railways) is an important task that can identify whether the network is capable of sustaining the present volume of traffic and...
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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...