An overview of remote monitoring methods in biodiversity conservation

RG Kerry, FJP Montalbo, R Das, S Patra… - … Science and Pollution …, 2022 - Springer
Conservation of biodiversity is critical for the coexistence of humans and the sustenance of
other living organisms within the ecosystem. Identification and prioritization of specific …

Synergistic evaluation of Sentinel 1 and 2 for biomass estimation in a tropical forest of India

RKM Malhi, A Anand, PK Srivastava… - Advances in Space …, 2022 - Elsevier
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 …

A spatial–spectral transformer for hyperspectral image classification based on global dependencies of multi-scale features

Y Ma, Y Lan, Y **e, L Yu, C Chen, Y Wu, X Dai - Remote Sensing, 2024 - mdpi.com
Vision transformers (ViTs) are increasingly utilized for HSI classification due to their
outstanding performance. However, ViTs encounter challenges in capturing global …

[HTML][HTML] Evaluation of total nitrogen in water via airborne hyperspectral data: potential of fractional order discretization algorithm and discrete wavelet transform …

J Liu, J Ding, X Ge, J Wang - Remote Sensing, 2021 - mdpi.com
Controlling and managing surface source pollution depends on the rapid monitoring of total
nitrogen in water. However, the complex factors affecting water quality (plant shading and …

Tree's detection & health's assessment from ultra-high resolution UAV imagery and deep learning

I Șandric, R Irimia, GP Petropoulos, A Anand… - Geocarto …, 2022 - Taylor & Francis
Detection and classification of crown trees properties and assessment of their health status
have raised much interest for the scientists from the forest and environmental sciences due …

Optimal band characterization in reformation of hyperspectral indices for species diversity estimation

A Anand, RKM Malhi, PK Srivastava, P Singh… - … of the Earth, Parts A/B/C, 2022 - Elsevier
Species diversity quantification is a crucial step towards the biodiversity conservation and
ecosystem health. The technological advancements and existing limitations of multispectral …

Enhanced classification of hyperspectral images using improvised oversampling and undersampling techniques

PS Singh, VP Singh, MK Pandey… - International Journal of …, 2022 - Springer
In the era of climate change, monitoring and effective retrieval of soil, water bodies,
vegetation parameters etc. are of utmost importance which is successfully being executed …

[HTML][HTML] Evaluation of simulated AVIRIS-NG imagery using a spectral reconstruction method for the retrieval of leaf chlorophyll content

B Verma, R Prasad, PK Srivastava, P Singh, A Badola… - Remote Sensing, 2022 - mdpi.com
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 …

Predictive geochemical exploration: Inferential generation of modern geochemical data, anomaly detection and application to northern Manitoba

JE Bourdeau, SE Zhang, CJM Lawley, M Parsa… - Natural Resources …, 2023 - Springer
Geochemical surveys contain an implicit data lifecycle or pipeline that consists of data
generation (eg, sampling and analysis), data management (eg, quality assurance and …