Siddhartha Khare

Indian Institute of Technology Roorkee | University of Roorkee · Department of Civil Engineering

The ongoing impacts of climatic changes, coupled with intensified human activities, are leading to a significant loss of plant diversity, prompting urgent calls for comprehensive monitoring of forest ecosystems. This is particularly concerning in regions with the encroachment of human activities into forest zones, and inadequate regulations that pr...

The role of agriculture in food security is critical by the rapid increase of the global population. Food production should be strongly increased to secure and provide life necessities. Remote sensing provides a fruitful tool in agriculture management, and it provides advantages in terms of saving time and effort. This study aims to examine the fea...

The rapid development of self-driving vehicles requires integrating a sophisticated sensing system to address the various obstacles posed by road traffic efficiently. While several datasets are available to support object detection in autonomous vehicles, it is crucial to carefully evaluate the suitability of these datasets for different weather co...

Presents corrections to the paper, (Corrections to “Deep Learning-Based Object Detection and Classification for Autonomous Vehicles in Different Weather Scenarios of Quebec, Canada”).

Bud phenology identifies the growing period of trees and determines the pattern of mass and energy exchanges between forest and atmosphere over time and space. Canopy color metrics derived from phenocams have been widely used to investigate tree phenology. J o u r n a l P r e-p r o o f Journal Pre-proof However, it remains unclear which color-based...

Traditional methods of agricultural production have become less efficient over the past few decades as a result of shifts in disease patterns, changes in weather patterns, an excessive use of fertilizers, and degradation of the soil. Agriculture makes use of space technology, new innovations, and scientific research to address issues that are prese...

The resurgent frequency of extreme weather events and their strongly distinctive spatial patterns lead to a growing interest in phenology as an indicator of tree susceptibility. Using a long-term chronology of observations collected in situ, we predicted and investigated the spatial patterns and environmental drivers of spring leaf phenology across...

Normalized difference vegetation index (NDVI) and normalized difference red-edge index (NDRE) are vegetation indices commonly used in agriculture to provide information on crop’s growth and health. Here, we investigated the sensitivity of both indices to management practices in lowbush blueberry fields. Images of the experimental plots were collect...

Supplementary Materials for publication titled as : Comparing Time-Lapse PhenoCams with Satellite Observations across the Boreal Forest of Quebec, Canada (https://www.mdpi.com/2072-4292/14/1/100/htm)

Intercomparison of satellite-derived vegetation phenology is scarce in remote locations because of the limited coverage area and low temporal resolution of field observations. By their reliable near-ground observations and high-frequency data collection, PhenoCams can be a robust tool for intercomparison of land surface phenology derived from satel...

Freely available satellite data at Google Earth Engine (GEE) cloud platform enables vegetation phenology analysis across different scales very efficiently. We evaluated seasonal and annual phenology of the old-growth Hyrcanian forests (HF) of northern Iran covering an area of ca. 1.9 million ha, and also focused on 15 UNESCO World Heritage Sites. W...

Aim In boreal ecosystems, phenological events display seasonal patterns. These patterns allow for the development of tissues during the short time window available for growth in cold climates. Primary and secondary growth, two expensive processes for plants, are supposedly modulated in time to optimize allocation of carbon to bud and woody tissues....

Acer saccharum and Acer rubrum, two main maple species in North America, will be affected by ongoing global warming. Several studies predict a southern limit contraction but limited northward expansion of maple distribution for the future. We aimed to understand the main drivers of current maple distribution to quantify potential changes to maple h...

Khare, Siddhartha (2020), “Data for: A 15-year spatio-temporal analysis of plant β-diversity using Landsat time series derived Rao's Q index”, Mendeley Data, V1, doi: 10.17632/9v72bdyxfk.1

Understanding temporal dynamics of plant biodiversity is crucial for conservation strategies at regional and local levels. The mostly applied hitherto methods are based on field observations of the plant communities and the related taxa. Satellite earth observation time series offer continuous and wider coverage for the assessment of plant diversit...

Intraspecific studies with populations replicated in different sites allow the effects of genotype and environment on wood features and plant growth to be distinguished. Based on climate change predictions, this distinction is important for establishing future patterns in the distribution of tree species. We quantified the effects of genotype and e...

Late frost can cause damage to trees, especially to the developing bud of broadleaf species in spring. Through long-term adaptation, plants adjust leaf phenology to achieve an optimal trade-off between growing season length and frost avoidance. In this study, we aim to assess ecotypic differentiation in leaf development of sugar maple populations p...

Bud and leaf development are important phenological events and help in defining the growing period of trees. Canopy greenness derived from PhenoCam has been used to investigate leaf phenology. Questions remain on how much the continuous records of canopy greenness represent bud developmental phases, and how growing period boundaries are related to...

Satellite remote sensing is a widely accessible tool to investigate the spatiotemporal variations in the bud phenology of evergreen species, which show limited seasonal changes in canopy greenness. However, there is a need for precise and compatible data to compare remote sensing time series with field observations. In this study, fortnightly MODIS...

In mountainous areas with sparse woody vegetation, tree cover is among the most crucial indicators for landscape conservation and ecosystem stability. It is thus essential to be continuously monitored, which is yet seriously hurdled by harsh topography and inaccessibility. Field-based methods are time consuming and costly and are thus particularly...

Bud phenology is a sensitive indicator of climate change. Therefore, it's important to understand the direct relationship of canopy greenness and bud phenological events at higher spatial and temporal resolutions. Recently, phenocam based near surface remote sensing methods has been extensively used for time series analysis of canopy greenness to m...

Accurate and up-to-date monitoring of forests at mountainous regions at regular time interval is a challenging task. Remote sensing derived metrics such as vegetation indices are the most widely used tools for the estimation of forests phenological attributes and ecosystem monitoring. Thus, in this study, assessment of spectral traits has been carr...

PPT of the workshop session held for 4 hours

Invasive plant species are major threats to biodiversity. They can be identified and monitored by means of high spatial resolution remote sensing imagery. This study aimed to test the potential of multiple very high-resolution (VHR) optical multispectral and stereo imageries (VHRSI) at spatial resolutions of 1.5 and 5 m to quantify the presence of...

Abstract: Terrorism is an international problem which has raised its ugly head in various places in the world. However State sponsored terrorism is unique to Pakistan where it is being used as an instrument of state to Target India. Kashmir being the bone of contention between India and Pakistan became the perfect ground to breed terrorism. But the...

It has always been an ecologically challenging task to assess the species diversity in large and inaccessible areas such as mountain forests due to difficulties in covering the entire (or representative) range of available species by insufficient field sampling and limitation of ground based observations to cover spatially larger extents. On the co...

With the availability of very high and high spatial resolution optical stereo-pair datasets such as SPOT-6/7, CARTOSAT-I and II, GeoEye-I, WorldView-2 and 3, it is now possible to generate high accuracy Digital Elevation Models (DEMs). It seems to be a better alternative to LiDAR datasets specifically in those countries where airborne data are eith...

QGIS is an open source software with basic and advance GIS capabilities. This is a hands-on introductory training manual for those who are new to GIS and want to use QGIS and its other plugins for GIS related work.

The health (or greenness) of the mountainous vegetation varies with seasons depending on its type and local topographic and climatic conditions. The forests in the Western Himalayas are influenced by variables such as precipitation and temperatures through seasons with considerable inter-annual variability. This study presents the phenological be...

We used a full remote sensing-based approach to assess plant species diversity in large and inaccessible areas affected by Lantana camara L., a common invasive species within the deciduous forests of Western Himalayan region of India, using spectral heterogeneity information extracted from optical data. The spread of L. camara was precisely mapped...

To assess the phenological changes in Moist Deciduous Forest (MDF) of western Himalayan region of India, we carried out NDVI time series analysis from 2013 to 2015 using Landsat 8 OLI data. We used the vegetation index differencing method to calculate the change in NDVI (NDVIchange) during pre and post monsoon seasons and these changes were used to...

To assess the phenological changes in Moist Deciduous Forest (MDF) of western Himalayan region of India, we carried out NDVI time series analysis from 2013 to 2015 using Landsat 8 OLI data. We used the vegetation index differencing method to calculate the change in NDVI (NDVI_change) during pre and post monsoon seasons and these changes w...

Conservation of biodiversity is an essential issue due to increasing climate change and anthropological factors. Various rich biodiversity zones are greatly threatened and degrading with an alarming rate therefore it's required to safeguard these zones and their habitats at regional and local levels. In order to implement significant conservation s...

Remote sensing -assisted extraction of biodiversity indices (Simpson Diversity, Diversity Index) using an object-oriented approach. The approach also followed a regression modeling of field-based biodiversity parameters based on NDVI values in forests in west Himalayan region of India.