Richa Marwaha

ORCID: 0000-0002-9127-1695
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About
Contact & Profiles
Research Areas
  • Land Use and Ecosystem Services
  • Remote-Sensing Image Classification
  • Infrared Target Detection Methodologies
  • Remote Sensing and LiDAR Applications
  • Network Traffic and Congestion Control
  • Image Processing and 3D Reconstruction
  • Advanced Image Fusion Techniques
  • Ecology and biodiversity studies
  • Climate variability and models
  • Archaeological Research and Protection
  • Hydrology and Drought Analysis
  • Peer-to-Peer Network Technologies
  • IPv6, Mobility, Handover, Networks, Security
  • Fire effects on ecosystems
  • Peatlands and Wetlands Ecology
  • Remote Sensing and Land Use
  • Flood Risk Assessment and Management

Intel (Ireland)
2023

Trinity College Dublin
2022

Teagasc - The Irish Agriculture and Food Development Authority
2019

Indian Institute of Remote Sensing
2014-2015

San Jose State University
2010

The summer of 2018 brought a significant meteorological drought to Ireland, with the 25 th June marking first official day after cold winter/spring.Meteorological data recorded at Met Éireann's (the Irish Meteorological Service) network stations were used calculate Standardised Precipitation Index (SPI), Percent Normal (PNI) and Soil Moisture Deficit (SMD).In addition, MODIS remote sensing from NASA's TERRA satellite was compute Enhanced Vegetation (EVI).The progress in has been shown by...

10.1002/wea.3587 article EN Weather 2019-08-06

Topographical maps from the nineteenth century hold significant historical and environmental value, providing insights into landscape changes over past two centuries. These feature distinct symbols representing various land cover types, such as forests wetlands, offering a unique perspective on land-use changes. For example, there has been reduction in wetlands because of agricultural expansion intensification which lead to biodiversity loss increased greenhouse gas emissions globally. Our...

10.1016/j.ecolind.2023.111363 article EN cc-by Ecological Indicators 2023-12-07

Our primary objective was to explore a classification algorithm for thermal hyperspectral data. Minimum noise fraction is applied data and eight pixel-based classifiers, i.e., constrained energy minimization, matched filter, spectral angle mapper (SAM), adaptive coherence estimator, orthogonal subspace projection, mixture-tuned target-constrained interference-minimized interference minimized filter are tested. The long-wave infrared (LWIR) has not yet been exploited purposes. LWIR contain...

10.1117/1.jrs.9.095040 article EN Journal of Applied Remote Sensing 2015-12-17

Abstract. Airborne hyperspectral imaging is constantly being used for classification purpose. But airborne thermal image usually a challenge conventional approaches. The Telops Hyper-Cam sensor an interferometer-based system that helps in the spatial and spectral analysis of targets utilizing single sensor. It based on technology Fourier-transform which yields high resolution enables accuracy radiometric calibration. Hypercam instrument has 84 bands 868 cm−1 to 1280 region (7.8 μm 11.5 μm),...

10.5194/isprsarchives-xl-8-827-2014 article EN cc-by ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences 2014-11-28

<p>Peatlands cover ~3% of the global land area and are under threat from a land-use change such as drainage for peat extraction, conversion to agriculture commercial forestry. Historically, peatlands in Ireland have been used industrial extraction domestic turf cutting. One example is Cavemount bog, County Offaly, former raised bog where started 1970s ceased 2015. After 2015,  a programme rehabilitation commenced by rewetting site raise water levels promote...

10.5194/egusphere-egu22-1082 preprint EN 2022-03-27
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