Results 91 to 100 of about 732,743 (205)

Major forests and plant species discrimination in Mudumalai forest region using airborne hyperspectral sensing

Journal of Asia-Pacific Biodiversity, 2020
The present study focused on forest type classification and major plant species assemblages in Mudumalai forest region using Airborne Visible/Infrared Imaging Spectrometer Next Generation.
Bodi Surya Pratap Chandra Kishore, Amit Kumar, Purabi Saikia, Nikhil Lele, Arvind Chandra Pandey, Parul Srivastava, Bimal Kumar Bhattacharya, Mohamed Latif Khan   +7 more
doaj   +1 more source

Identification of optimal hyperspectral wavelength to discriminate maize and sorghum crops using AVIRIS-NG data in Guntur district, Andhra Pradesh, India

International journal of research in agronomy
In this study, we utilized AVIRIS-NG hyperspectral data captured during the Rabi season in February 2018 in a region of Guntur District, Andhra Pradesh, where Maize and Sorghum crops are extensively cultivated.
SK Tiwari, V. Raghu
semanticscholar   +1 more source

Variability in Forest Plant Traits Along the Western Ghats of India and Their Environmental Drivers at Different Resolutions

Journal of Geophysical Research: Biogeosciences, Volume 129, Issue 3, March 2024.
Abstract Imaging spectroscopy offers great potential to characterize plant traits at fine resolution across broad regions and then assess controls on their variation across spatial resolutions. We applied permutational partial least‐squares regression to map seven key foliar chemical and morphological traits using NASA's Airborne Visible/Infrared ...
Ting Zheng, Zhiwei Ye, Aditya Singh, Ankur R. Desai, N. S. R. Krishnayya, Maulik G. Dave, Philip A. Townsend   +6 more
wiley   +1 more source

Integrating SAR and Optical Data for Aboveground Biomass Estimation of Coastal Wetlands Using Machine Learning: Multi-Scale Approach

Remote Sensing
Coastal wetlands encompass diverse ecosystems such as tidal marshes, mangroves, and seagrasses, which harbor substantial amounts of carbon (C) within their vegetation and soils.
Mohammadali Hemati, Masoud Mahdianpari, Hodjat Shiri, Fariba Mohammadimanesh   +3 more
doaj   +1 more source

IRX-1D: A Simple Deep Learning Architecture for Remote Sensing Classifications

, 2020
We proposes a simple deep learning architecture combining elements of Inception, ResNet and Xception networks. Four new datasets were used for classification with both small and large training samples. Results in terms of classification accuracy suggests
Akshay, Pal, Mahesh, Teja, B. Charan
core  

Quantifying CH₄ point source emissions with airborne remote sensing: first results from AVIRIS-4 [PDF]

Atmospheric Measurement Techniques
Atmospheric concentration of methane (CH4), a potent greenhouse gas, increased significantly since pre-industrial times, with anthropogenic emissions originating primarily from agriculture, fossil fuel sector and waste management.
S. Meier, S. Meier, M. Vögtli, A. Hueni, A. McManemin, A. R. Brandt, C. Juéry, V. Blandin, D. Brunner, G. Kuhlmann   +9 more
doaj   +1 more source

Mapping Soil Organic Carbon Stock Using Hyperspectral Remote Sensing: A Case Study in the Sele River Plain in Southern Italy

Remote Sensing
Mapping soil organic carbon (SOC) stock can serve as a resilience indicator for climate change. As part of the carbon dioxide (CO2) sink, soil has recently become an integral part of the global carbon agenda to mitigate climate change.
Nicolas Francos, Paolo Nasta, Carolina Allocca, Benedetto Sica, Caterina Mazzitelli, Ugo Lazzaro, Guido D’Urso, Oscar Rosario Belfiore, Mariano Crimaldi, Fabrizio Sarghini, Eyal Ben-Dor, Nunzio Romano   +11 more
doaj   +1 more source

A novel method for detecting soil salinity using AVIRIS-NG imaging spectroscopy and ensemble machine learning

Isprs Journal of Photogrammetry and Remote Sensing, 2023
Ayan Das, Bimal K. Bhattacharya, R. Setia, G. Jayasree, Bhabani Sankar Das   +4 more
semanticscholar   +1 more source

Detecting methane emissions from palm oil mills with airborne and spaceborne imaging spectrometers

Environmental Research Letters
Methane (CH _4 ) emissions from human activities are a major cause of global warming, necessitating effective mitigation strategies. In particular, the palm oil industry generates palm oil mill (POM) effluent, which continuously emits methane into the ...
Adriana Valverde, Javier Roger, Javier Gorroño, Itziar Irakulis-Loitxate, Luis Guanter   +4 more
doaj   +1 more source

Intelligent decision making on-board satellites [PDF]

In this thesis we explore opportunities that are given to us with Remote Sensing data collected by satellites and their processing using Machine Learning.
Růžička, Vít
core   +2 more sources