Author
B.P. Ganasri
Bio: B.P. Ganasri is an academic researcher from National Institute of Technology, Karnataka. The author has contributed to research in topics: MIKE SHE & Remote sensing (archaeology). The author has an hindex of 3, co-authored 3 publications receiving 402 citations.
Papers
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TL;DR: In this paper, the authors discuss briefly about variable infiltration capacity model (VIC), TOPMODEL, HBV, MIKESHE and soil and water assessment tool (SWAT) model.
558 citations
TL;DR: In this article, the authors analyzed the dynamics of land use and land cover changes using LISS-III data for the years 2007, 2010 and 2013 of Harangi catchment, Coorg District, Karnataka State, India.
36 citations
TL;DR: In this paper, the authors gave an overview of some of the applications of remote sensing in the field of satellite oceanography and concluded that even though IR and microwave radiometers can be used for measuring temperatures at different depths in oceans, better choice is to use microwave data as it has got the advantage of penetrating through clouds and also it gives a clear view in all weather conditions except rain.
35 citations
Cited by
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TL;DR: This paper is the most comprehensive and detailed review of wetland remote sensing and it will be a good reference for wetland researchers.
Abstract: Wetlands are some of the most important ecosystems on Earth. They play a key role in alleviating floods and filtering polluted water and also provide habitats for many plants and animals. Wetlands also interact with climate change. Over the past 50 years, wetlands have been polluted and declined dramatically as land cover has changed in some regions. Remote sensing has been the most useful tool to acquire spatial and temporal information about wetlands. In this paper, seven types of sensors were reviewed: aerial photos coarse-resolution, medium-resolution, high-resolution, hyperspectral imagery, radar, and Light Detection and Ranging (LiDAR) data. This study also discusses the advantage of each sensor for wetland research. Wetland research themes reviewed in this paper include wetland classification, habitat or biodiversity, biomass estimation, plant leaf chemistry, water quality, mangrove forest, and sea level rise. This study also gives an overview of the methods used in wetland research such as supervised and unsupervised classification and decision tree and object-based classification. Finally, this paper provides some advice on future wetland remote sensing. To our knowledge, this paper is the most comprehensive and detailed review of wetland remote sensing and it will be a good reference for wetland researchers.
278 citations
TL;DR: The LSTM‐seq2seq model shows sufficient predictive power and could be used to improve forecast accuracy in short‐term flood forecast applications and the seq2seq method was demonstrated to be an effective method for time series predictions in hydrology.
262 citations
TL;DR: It can be concluded that the usage of different statistical metrics, provides different outcomes concerning the best prediction model, which mainly could be attributed to sites specific settings.
168 citations
TL;DR: This critical review uses grey- and peer-review literature to identify and compare current research available for the quantification of hazard interrelations, focussing on 14 different natural hazards, and believes that this review will lead to a better understanding of quantification methodologies for hazard inter Relations between different sub-disciplines that focus on natural hazards.
109 citations
TL;DR: An updated version of SWAT-MODFLOW that allows application to large agro-urban river basins in semi-arid regions is presented, and code changes include linkage between MODFLow pumping cells and SWAT HRUs for groundwater irrigation, joint groundwater and surface water irrigation routines, and the use of MODFLOW-PSB to handle the large array of groundwater sources/sinks that exist in a highly managed river basin.
Abstract: Within river basins, water resources competition often exists between agricultural, municipal and industrial sectors, particularly in semi-arid regions where surface water and groundwater are managed conjunctively to sustain urban areas and food production. There is a need for physically-based modeling tools to assist with identifying successful water management strategies in these basins. This paper presents an updated version of SWAT-MODFLOW that allows application to large agro-urban river basins in semi-arid regions. Code changes include linkage between MODFLOW pumping cells and SWAT HRUs for groundwater irrigation, joint groundwater and surface water irrigation routines, and the use of MODFLOW-PSB to handle the large array of groundwater sources/sinks that exist in a highly managed river basin. Model performance is demonstrated for the 72,000 km2 South Platte River Basin, Colorado, USA. The model can be used in agro-urban river basins worldwide to assess water resources supply under a variety of scenarios.
79 citations