Investigation of orographic features influencing spatial distribution of rainfall over the Western Ghats of India using satellite data

2014 ◽  
Vol 35 (9) ◽  
pp. 2280-2293 ◽  
Author(s):  
Sayli A. Tawde ◽  
Charu Singh
Keyword(s):  
Spatial Distribution ◽  
Satellite Data ◽  
Western Ghats ◽  
Western Ghats Of India ◽  
The Western Ghats

scholarly journals Landslides Mapped using Satellite Data in the Western Ghats of India After Excess Rainfall During August 2018

2019 ◽  
Vol 117 (5) ◽  
pp. 804 ◽  
Author(s):  
Tapas R. Martha ◽  
Priyom Roy ◽  
Kirti Khanna ◽  
K. Mrinalni ◽  
K. Vinod Kumar
Keyword(s):  
Satellite Data ◽  
Western Ghats ◽  
Western Ghats Of India ◽  
The Western Ghats

Spatial distribution of Haemaphysalis species ticks and human Kyasanur Forest Disease cases along the Western Ghats of India, 2017–2018

2019 ◽  
Vol 77 (3) ◽  
pp. 435-447 ◽  
Author(s):  
N. Naren Babu ◽  
Anup Jayaram ◽  
H. Hemanth Kumar ◽  
Prashant Pareet ◽  
Sarthak Pattanaik ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Western Ghats ◽  
Forest Disease ◽  
Western Ghats Of India ◽  
Kyasanur Forest Disease ◽  
The Western Ghats

Environmental susceptibility model for predicting forest fire occurrence in the Western Ghats of India

2012 ◽  
Vol 21 (4) ◽  
pp. 368 ◽  
Author(s):  
Quentin Renard ◽  
Raphaël Pélissier ◽  
B. R. Ramesh ◽  
Narendran Kodandapani
Keyword(s):  
Spatial Distribution ◽  
Forest Fires ◽  
Western Ghats ◽  
Goodness Of Fit ◽  
Fire Season ◽  
Management Problem ◽  
Environmental Controls ◽  
Western Ghats Of India ◽  
Susceptibility Model ◽  
The Western Ghats

Forest fires are a recurrent management problem in the Western Ghats of India. Although most fires occur during the dry season, information on the spatial distribution of fires is needed to improve fire prevention. We used the MODIS Hotspots database and Maxent algorithm to provide a quantitative understanding of the environmental controls regulating the spatial distribution of forest fires over the period 2003–07 in the entire Western Ghats and in two nested subregions with contrasting characteristics. We used hierarchical partitioning to assess the independent contributions of climate, topography and vegetation to the goodness-of-fit of models and to build the most parsimonious fire susceptibility model in each study area. Results show that although areas predicted as highly prone to forest fires were mainly localised on the eastern slopes of the Ghats, spatial predictions and model accuracies differed significantly between study areas. We suggest accordingly a two-step approach to identify: first, large fire-prone areas by paying special attention to the climatic conditions of the monsoon season before the fire season, which determine the fuels moisture content during the fire season; second, the most vulnerable sites within the fire-prone areas using local models mainly based on the type of vegetation.

scholarly journals Use of wastes from the tea and coffee industries for the production of cellulases using fungi isolated from the Western Ghats of India

2020 ◽  
Vol 1 (1) ◽  
pp. 33-41
Author(s):  
S. A. Saldaña-Mendoza ◽  
J. A. Ascacio-Valdés ◽  
A. S. Palacios-Ponce ◽  
J. C. Contreras-Esquivel ◽  
R. Rodríguez-Herrera ◽  
...  
Keyword(s):  
Western Ghats ◽  
Western Ghats Of India ◽  
The Western Ghats

scholarly journals Rapid mapping of landslides in the Western Ghats (India) triggered by 2018 extreme monsoon rainfall using a deep learning approach

Landslides ◽  
2021 ◽  
Author(s):  
Sansar Raj Meena ◽  
Omid Ghorbanzadeh ◽  
Cees J. van Westen ◽  
Thimmaiah Gudiyangada Nachappa ◽  
Thomas Blaschke ◽  
...  
Keyword(s):  
Deep Learning ◽  
Western Ghats ◽  
Auxiliary Information ◽  
Optical Data ◽  
Spectral Information ◽  
Topographic Slope ◽  
Western Ghats Of India ◽  
Landslide Inventory Map ◽  
Inventory Map ◽  
The Western Ghats

AbstractRainfall-induced landslide inventories can be compiled using remote sensing and topographical data, gathered using either traditional or semi-automatic supervised methods. In this study, we used the PlanetScope imagery and deep learning convolution neural networks (CNNs) to map the 2018 rainfall-induced landslides in the Kodagu district of Karnataka state in the Western Ghats of India. We used a fourfold cross-validation (CV) to select the training and testing data to remove any random results of the model. Topographic slope data was used as auxiliary information to increase the performance of the model. The resulting landslide inventory map, created using the slope data with the spectral information, reduces the false positives, which helps to distinguish the landslide areas from other similar features such as barren lands and riverbeds. However, while including the slope data did not increase the true positives, the overall accuracy was higher compared to using only spectral information to train the model. The mean accuracies of correctly classified landslide values were 65.5% when using only optical data, which increased to 78% with the use of slope data. The methodology presented in this research can be applied in other landslide-prone regions, and the results can be used to support hazard mitigation in landslide-prone regions.

Native coffee agroforestry in the Western Ghats of India maintains higher carbon storage and tree diversity compared to exotic agroforestry

2018 ◽  
Vol 265 ◽  
pp. 461-469 ◽  
Author(s):  
Joannès Guillemot ◽  
Guerric le Maire ◽  
Manjunatha Munishamappa ◽  
Fabien Charbonnier ◽  
Philippe Vaast
Keyword(s):  
Carbon Storage ◽  
Western Ghats ◽  
Tree Diversity ◽  
Coffee Agroforestry ◽  
Western Ghats Of India ◽  
The Western Ghats

scholarly journals Distribution and habitat associations of the Critically Endangered frog Walkerana phrynoderma (Anura: Ranixalidae), with an assessment of potential threats, abundance, and morphology

2018 ◽  
Vol 17 (1) ◽  
pp. 21
Author(s):  
Arun Kanagavel ◽  
Sethu Parvathy ◽  
Abhiijth P. Chundakatil ◽  
Neelesh Dahanukar ◽  
Benjamin Tapley
Keyword(s):  
Western Ghats ◽  
Tamil Nadu ◽  
Habitat Associations ◽  
Critically Endangered ◽  
Suitable Habitat ◽  
Time Activity ◽  
Western Ghats Of India ◽  
Pesticide Runoff ◽  
The Impact ◽  
The Western Ghats

Distribution and habitat associations of the Critically Endangered frog Walkerana phrynoderma (Anura: Ranixalidae), with an assessment of potential threats, abundance, and morphology. Little is known about Walkerana phrynoderma, a frog endemic to the Anamalai Hills of the Western Ghats of India. Baseline information (i.e., distribution, threats, habitat characteristics, activity patterns, and relative abundance) is provided for this species, with the aim of improving our understanding of the status of the species in the wild. Visual-encounter, transect, and time-activity budget surveys were conducted in and around the Anamalai Hills of the Western Ghats. The frog skin was swabbed to determine the presence/absence of Batrachochytrium dendrobatidis, and habitat and environmental characteristics were recorded at sites where W. phrynoderma was found. These data were compared with those of sites apparently lacking this species that had suitable habitat. Walkerana phrynoderma is restricted to evergreen forests between 1300 and 1700 m a.s.l. in the Anamalai Tiger Reserve and at Munnar; thus, its range was extended from the state of Tamil Nadu to the adjoining state of Kerala. Pesticide runoff and human disturbance are the most severe threats to the species; B. dendrobatidis was not detected. This nocturnal anuran prefers forest edges and is associated with well-shaded forest foors in cool areas near freshwater streams. Walkerana phrynoderma is rarely encountered whereas its congener, W. leptodactyla, is more common. The impact of anthropogenic disturbances, especially waste disposal and development of tourism infrastructure, should be evaluated. The land that is owned by the Forest Department peripheral to the protected areas could be designated as eco-sensitive sites to prevent changes in land use that could have an adverse effect on W. phrynoderma.

Paraindopamphantus bruneiensis gen. nov. et sp. nov., as the first representative of the subfamily Pamphantinae from South East Asia (Hemiptera: Heteroptera: Geocoridae: Pamphantinae: Indopamphantini)

Zootaxa ◽  
2018 ◽  
Vol 4415 (1) ◽  
pp. 76
Author(s):  
M. B. MALIPATIL ◽  
G. G. E. SCUDDER
Keyword(s):  
East Asia ◽  
Western Ghats ◽  
South East Asia ◽  
Oriental Region ◽  
Western Ghats Of India ◽  
The Western Ghats

Paraindopamphantus gen. nov., containing one species, I. bruneiensis sp. nov., is reported from Brunei, as the first member of the subfamily Pamphantinae from South East Asia and the second from the Oriental Region. The strikingly myrmecomorphic P. bruneiensis, collected only from Bukit Sulang, nr Lamunin in Brunei in the canopy of Shorea johorensis Foxw. (Dipterocarpaceae) tree by insecticide fogging is described and illustrated. The genus is placed in tribe Indopamphantini, that at present contains only other genus Indopamphantus Malipatil recorded from the Western Ghats of India. The significance of the habitus and myrmecomorphy of this species, in relation to Indopamphantus makutaensis Malipatil, is discussed. A key to the two genera of Indopamphantini is provided. 

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