Assessment and monitoring of spatio-temporal changes in Keoladeo Ghana National Park, Rajasthan, India using geoinformatics

2011 ◽  
Vol 4 ◽  
pp. 33-42 ◽  
Author(s):  
C Sudhakar Reddy ◽  
P Hari Krishna ◽  
V Swetha ◽  
T Shivakala ◽  
Prabhu D Charan
Keyword(s):  
Satellite Data ◽  
National Park ◽  
Drastic Reduction ◽  
Irs P6 ◽  
Multi Temporal ◽  
Assessment And Monitoring ◽  
Liss Iii ◽  
Spatio Temporal ◽  
Water Spread

Knowledge of changes in wetlands is becoming a very important issue for sustainable management of natural resources. The present work has been carried out: in Keoladeo Ghana National Park (KNP), a RAMSAR site to study the dynamics of wetlands with reference to long-term and seasonal changes in extent of water spread, vegetation types and to build a spatial database on wetlands. Multi-temporal satellite data of Landsat MSS (1977), Landsat TM data (1989), IRS P6 AWIFS (2005) and IRS P6 LISS III data (2005-2006) was used for mapping and spatial analysis. Comparisons between 1977 and 2005 indicated that changes in overall wetland areas were significant. The total area of wetland in March 1977 was 186 hectares and in March 2005 it was found to be 7.5 ha. There is a drastic reduction in spatial extent of water spread from October to May and results indicated that the total area ranged from 528 ha (October 2005) to 7.5 ha (March-May 2005). The study clearly points that Geoinformatics have become very effective tool for wetlands mapping and monitoring. Key words: wetlands; geoinformatics; satellite data; Keoladeo; RajasthanDOI: 10.3126/jowe.v4i0.3115Journal of Wetlands Ecology, (2010) Vol. 4, pp 33-42

Lithology and Structural Mapping of Kadavur Basin, Tamil Nadu, India, Using IRS P6 LISS III Satellite Data

2019 ◽  
Vol 47 (8) ◽  
pp. 1275-1286 ◽  
Author(s):  
S. Uma Maheswaran ◽  
S. Anbazhagan ◽  
K. Tamilarasan ◽  
C. Kasilingam ◽  
M. Chinnamuthu
Keyword(s):  
Satellite Data ◽  
Tamil Nadu ◽  
Structural Mapping ◽  
Irs P6 ◽  
Liss Iii

Records of Cholevinae (Coleoptera: Leiodidae) sampled by pitfall traps in the Central Italian Alps

2019 ◽  
Vol 13 (2) ◽  
pp. 36-42
Author(s):  
LEONARDO LATELLA ◽  
LUCA PEDROTTI ◽  
MAURO GOBBI
Keyword(s):  
Environmental Variables ◽  
National Park ◽  
Abundant Species ◽  
Species Assemblages ◽  
Pitfall Traps ◽  
Vertebrate Species ◽  
Italian Alps ◽  
Spatio Temporal ◽  
Distribution And Ecology

In the framework of a long-term project launched by the Stelvio National Park for monitoring the spatio-temporal patterns in plant, arthropod and vertebrate species assemblages, the results on the sampled cholevid species are reported. The abundance of specimens and the distribution of species has been studied in relation to nine environmental variables. Five species of the tribe Cholevini were sampled during this research: Apocatops nigrita, Catops coracinus, Catops fuliginosu, Catops nigricans and Catops tristis. The most abundant and frequent species were Apocatops nigrita and Catops coracinus. The effect of the environmental variables on the distribution of two of the most abundant species (C. coracinus, A. nigrita) was tested and described. Updated information about the distribution and ecology of the five sampled species were provided. 

scholarly journals Long-term rainfall regression surfaces for the Kruger National Park, South Africa: a spatio-temporal review of patterns from 1981 to 2015

2018 ◽  
Vol 38 (5) ◽  
pp. 2506-2519 ◽  
Author(s):  
Sandra MacFadyen ◽  
Nick Zambatis ◽  
Astrid J. A. Van Teeffelen ◽  
Cang Hui
Keyword(s):  
South Africa ◽  
National Park ◽  
Kruger National Park ◽  
Spatio Temporal

Assessment of wetland dynamics in Sirohi district of Rajasthan, India using remote sensing and GIS techniques

2011 ◽  
Vol 5 ◽  
pp. 66-72 ◽  
Author(s):  
K Navatha ◽  
Chiranjibi Pattanaik ◽  
C Sudhakar Reddy
Keyword(s):  
Remote Sensing ◽  
Remote Sensing And Gis ◽  
Visual Interpretation ◽  
Drastic Reduction ◽  
Wetland Area ◽  
Wetland Dynamics ◽  
The World ◽  
Irs P6 ◽  
Spread Area ◽  
Liss Iii

Wetlands are very dynamic ecosystems in the world. The present study provides scenario of wetlands of Sirohi district of Rajasthan, India. Landsat TM data of October, 1992, IRS-P6 LISS-III data of October 2005 and IRS-P6 AWiFS data of January, February, March, April and May months (2005) have been used in the study. Visual interpretation technique was adopted to map the areal extent of wetlands on 1:50,000 scale. Wetlands were classified following the Ramsar classification. The total extent of wetlands for the Sirohi district as a whole is estimated to 11,961 ha with representation 189 wetlands during 1992 which later decreased 11,307 ha in 2005 with a loss of 654.2 ha during 13 years. Of the total wetland area of the district, rivers accounted for 61.9% area, followed by reservoirs (15.1%), seasonal lakes (15%), perennial lakes (5.6%), and ponds (2.5%). Further it is also observed that drastic reduction in the water spread area from February to May months. For conservation of wetlands it is necessary to assess the changes which take place in the water bodies from time to time. Key words: GIS; Rajasthan; Remote sensing; Sirohi district; Wetlands DOI: http://dx.doi.org/10.3126/jowe.v5i0.4996 J Wet Eco 2011 (5): 66-72

scholarly journals Land use/Land Cover Change Assessment of Ysr Kadapa District, Andhra Pradesh, India using Irs Resourcesat-1/2 Liss Iii Multi-Temporal Open Source Data

2019 ◽  
Vol 8 (3) ◽  
pp. 8139-8151
Keyword(s):  
Andhra Pradesh ◽  
Temporal Dynamics ◽  
Rate Of Change ◽  
Change Assessment ◽  
Sensing Technology ◽  
Open Source Data ◽  
Erdas Imagine ◽  
Multi Temporal ◽  
Liss Iii ◽  
Spatio Temporal

LULC change assessment by the Remote sensing Technology helps in understanding land dynamics effectively compared to conventional field inspection methods. This study provides the spatio-temporal dynamics of LULC classes in the Kadapa District, Andhra Pradesh, India. IRS Resourcesat-1/2 LISS III Multi-Temporal remote sensed data, from Bhuvan - Indian Geo-platform of ISRO is intended to assessment the changes in the study area during the years 2005-2006, 2011-2012 and 2015-2016 over tenure of 10 years. At the end the study area claasified into five major classes namely Built-up, Agriculture, Forest, Wastelands and waterbodies using ERDAS Imagine 2015. The results indicate net change and rate of change of LULC classes over the period of 10 years. Net change in Built-up land is 89.91%( 167.12 km2 ), Net change (decreased) in Agriculture land is 3.76% (256.05km2 ), Net increment in the Forest land is 2.39 %( 114.83km2 ), Wastelands decreased by 2.92 %( 79.09km2 ), and waterbodies increased by 6.28% (52.9 km2 )

scholarly journals SPATIO-TEMPORAL STUDY OF BRAHMAPUTRA RIVER ISLANDS (CHARS) FOR AGRICULTURE EXPANSION IN ASSAM, INDIA

2019 ◽  
Vol XLII-3/W6 ◽  
pp. 429-433
Author(s):  
M. Prashnani ◽  
A. Qadir ◽  
J. Goswami ◽  
P. L. N. Raju
Keyword(s):  
Satellite Data ◽  
Temporal Dynamics ◽  
Cropping System ◽  
Google Earth ◽  
Brahmaputra River ◽  
Crop Cultivation ◽  
River Islands ◽  
Brahmaputra Valley ◽  
Spatio Temporal

<p><strong>Abstract.</strong> The present paper aims to understand the spatio-temporal dynamics of the Brahmaputra river islands locally known as chars in Assam for agriculture crop expansion using long term multispectral satellite data and Google Earth Engine. This study also provides information on existing agriculture lands on these chars. For the study Landsat data is analysed to find the long term stable islands (1988&amp;ndash;2018) and the present status of these islands for seasonal crop expansion. Validation of results was performed by using high-resolution satellite data. It is found that total area of vegetative chars has increased in past three decades and approximately 146 thousand hectares area of char is stable from past ten years. This study also reveals that the major crop cultivation is in Lower Brahmaputra Valley (LBV). In Upper Brahmaputra Valley (UBV), the crop cultivation is almost negligible compared to the large islands size. It can be inferred that less stable chars which are mostly located in upper Assam has negligible agriculture. It is also observed that at many places in lower Assam, double cropping system is followed. This study can be further extended by including factors like soil type, soil texture, rainfall, socio-economic etc. to study suitability for different crops. Proper facilities and incentives are to be provided to farmers of this region for better food security.</p>

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