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Saran, Sameer
- Understanding the Linkages between Climate Change and Forest
Abstract Views :313 |
PDF Views:79
Authors
Rinku Moni Devi
1,
Maneesh Kumar Patasaraiya
1,
Bhaskar Sinha
2,
Sameer Saran
3,
A. P. Dimri
4,
Rajeev Jaiswal
5
Affiliations
1 Indian Institute of Forest Management, Bhopal 462 003, IN
2 Centre for Climate Change Studies, Indian Institute of Forest Management, Bhopal 462 003, IN
3 Indian Institute of Remote Sensing, Dehradun 248 001, IN
4 School of Environmental Sciences, Jawaharlal Nehru University, New Delhi 110 067, IN
5 Indian Space Research Organisation, Bengaluru 560 094, IN
1 Indian Institute of Forest Management, Bhopal 462 003, IN
2 Centre for Climate Change Studies, Indian Institute of Forest Management, Bhopal 462 003, IN
3 Indian Institute of Remote Sensing, Dehradun 248 001, IN
4 School of Environmental Sciences, Jawaharlal Nehru University, New Delhi 110 067, IN
5 Indian Space Research Organisation, Bengaluru 560 094, IN
Source
Current Science, Vol 114, No 05 (2018), Pagination: 987-996Abstract
The present study reviews the application of various regional climate models and remote sensing techniques to understand and define impacts of climate change on the forest resources with specific reference to India. It illustrates the potentials and limitations of regional climate models, vegetation models and remote sensing techniques like normalized difference vegetation index time-series analysis, change detection method and phenological attributes in assessing and monitoring the impacts of climate change on vegetation. The study recommends that regional climate models and remote sensing techniques need to be integrated in tandem for understanding the present and future impacts of climate change on forest ecosystems. This could help to improve the accuracy and prediction, which can contribute to planning effective adaptation strategies in the forestry sector.Keywords
Climate Change, Forest, Regional Climate Models, Remote Sensing.Full Text
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- Data Mining Techniques for Predicting Dengue Outbreak in Geospatial Domain Using Weather Parameters for New Delhi, India
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PDF Views:76
Authors
Affiliations
1 Indian Institute of Remote Sensing, ISRO, Dehradun 248 001, IN
1 Indian Institute of Remote Sensing, ISRO, Dehradun 248 001, IN
Source
Current Science, Vol 114, No 11 (2018), Pagination: 2281-2291Abstract
Dengue is a hazardous disease which poses a critical threat to the population of Delhi, India. These cases are steadily reported during and post-monsoon season indicating its correlation with weather parameters. Establishing this relation will help understand the spread of dengue and will allow decision makers take precautionary steps beforehand. Our study explains the adopted multi-regression and Naïve Bayes approach to model the relation between dengue cases and weather parameters, i.e. maximum temperature, rainfall and relative humidity. Both these models have served a great deal in modelling this relationship which has enabled us to forecast a probable dengue outbreak. Our results have shown that sudden and high rainfall accompanied with 30–35°C temperature and high relative humidity contributes to a highly vulnerable weather for the spread of dengue. Also, we have proposed a new application of spherical k-means clustering algorithm to identify zones with similar transmission pattern which gives insight into the distribution of dengue incidences in Delhi. Results show that Central, Civil Lines, Rohini, South and West zones have the highest odds of dengue occurrences.Keywords
Dengue, Multi-Regression, Naive Bayes, Spherical K-Means, Weather Parameters.Full Text
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Abstract Views :251 |
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Authors
Sameer Saran
1,
Priyanka Singh
1,
Hitendra Padalia
1,
Arshdeep Singh
2,
Vishal Kumar
1,
Prakash Chauhan
1
Affiliations
1 Indian Institute of Remote Sensing (ISRO), #4 Kalidas Road, Dehradun 248 001, IN
2 Jammu and Kashmir Forest Department, Sheikh Bagh, Near Lal Chowk, Srinagar 180 001, IN
1 Indian Institute of Remote Sensing (ISRO), #4 Kalidas Road, Dehradun 248 001, IN
2 Jammu and Kashmir Forest Department, Sheikh Bagh, Near Lal Chowk, Srinagar 180 001, IN
Source
Current Science, Vol 119, No 5 (2020), Pagination: 780-789Abstract
In this study, a mobile app is presented as a citizencentric geospatial solution to record real-time forest fire incidents. This tool fetches accurate geographical coordinates and captures forest fire images, along with relevant fields related to the event such as cause of fire, fire type, species affected, etc. in both online and offline mode. The background, application foundation, system design and main features are also described. Evaluation of robustness of the application and a case study are presented to show the potential use of this participatory sensing-based geospatial tool.Keywords
Citizen Science, Forest Fire, Geospatial Tool, Mobile Application, Real-time Mapping.Full Text