Change detection in Sal forest in Dehradun Forest Division using remote sensing and geographical information system

Chauhan, P.; Porwal, M. C.; Sharma, L. P.; Devs.negi, Jay

doi:10.1007/bf03030827

Cited by 12 publications

(3 citation statements)

References 3 publications

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“…In Malaysia, for example, it is being used to map forest types, to measure changes in forest cover due to a range of causes such as shifting cultivation, forest exploitation and urbanization, and to monitor damage caused by harvesting and extraction (Khali Aziz et al, 1992). In India, a combination of aerial photography and satellite images was used to detect a significant reduction in vegetation cover of sal (Shorea robusta) forests in some forest divisions (Chauhan et al, 2003). The causes were identified as deforestation, encroachment, agriculture and, in one division, severe infestation of the sal borer, Hoplocerambyx spinicornis.…”

Section: Aerial Survey and Remote Sensingmentioning

confidence: 99%

Insect Pests in Tropical Forestry

2002

Australian Journal of Entomology

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Since the publication of the first edition of this book in 2001, there have been several significant developments in forestry and forest entomology in the tropics that warranted inclusion in a second edition. One is the emergence of new pest species associated either with the expansion of plantation forestry into new regions or marginal areas, or a gradual adaptation by indigenous species to exotic hosts or the rapid spread of new invasives. The South American carpenterworm, Chilecomadia valdiviana, in Chile, and the South African goat moth, Coryphodema tristis, are examples of emerging indigenous pests associated with the establishment and expansion of exotic Eucalyptus spp. plantations in these countries. The blue gum chalcid, Leptocybe invasa, and the erythrina gall wasp, Quadrastichus erythrinae, are recent examples of the rapid worldwide spread of an invasive insect, similar to that which occurred for the leucaena psyllid, Heteropsylla cubana, in the 1980s and 1990s. The biology, ecology and impact of these, and many additional pest species, are discussed in an expanded Chapter 5.Another development has been the growing awareness of the 'true' global impact of forest invasive species as losses have been better quantified. Damage worldwide has been estimated at several billion US dollars per year, even without taking into account the loss of non-market value, which may well exceed that figure. This has prompted a range of international responses, including the formation of networks and surveillance programmes to provide early warning of incursions of forest invasives and the development of international standards for phytosanitary measures, such as that for wood packaging material, as discussed in Chapter 9. The global increase in self-help schemes such as plant clinics and field schools is also discussed. A range of new technologies has enhanced the accuracy and efficiency of forest health surveys over the past decade. These include the use of geographic information system-global positioning system interface tools and handheld computers to assist navigation and data collection in the field, and the application of digital, remotely sensed imagery to detect and classify damaged forest canopies. There have also been significant advances in the use of semiochemicals, including pheromones, for the detection and monitoring of forest pests and for controlling pest populations by means of mass trapping, lure and kill, lure and infect and mating disruption.One of the fundamental principles underlying this book is that the prevention of problems is far better than attempts at cures. The book is not in any way designed to be a manual of pest management. Instead, it presents concepts and examples of tropical forest viii Preface insects, their ecology, impact and control approaches where appropriate, and we hope that individual readers will make the connection between the generalities in the book and their own situation, socio-economic position and appropriate technologies. Some situations or examples have been revisited...

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Section: Aerial Survey and Remote Sensingmentioning

confidence: 99%

Insect Pests in Tropical Forestry

2002

Australian Journal of Entomology

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“…An attempt has been made in the present study to assess the trends of land use pattern in a fragile watershed located near a seismic and tectonically active region. The geographic information system (GIS) and remote sensing (RS) techniques have recently been widely applied to study land use/land cover changes (Mohanty, 1994;Minakshi and Sharma, 1999;Brahmabhatt et al, 2000;Chauhan et al, 2003). In Himalaya, a variety of changes have emerged in the traditional resource utilization structure mainly in response to population growth and resultant increased demand of natural resources, ineffective technology transfer, market forces, inappropriate land tenure policies, faulty environmental conservation programs, irrational rural developmental schemes, and increasing economic and political marginalization, during the recent years (Tiwari and Joshi, 1997).…”

Section: Introductionmentioning

confidence: 99%

Climate change accelerating land use dynamic and its environmental and socio‐economic risks in the Himalayas

Rawat

Tiwari

Pant

2012

International Journal of Climate Change Strategies and Management

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Purpose -The purpose of the study is to assess the environmental and socio-economic impacts and risks of climate change through GIS database management system (DBMS) on land use-informatics and climate-informatics. The Dabka watershed constitutes a part of the Kosi Basin in the Lesser Himalaya, India in district Nainital has been selected for the case illustration. Design/methodology/approach -Land use-informatics consists of land use mapping and change diction, i.e. decadal changes and annual changes. Climate-informatics consists of climate change detection through daily, monthly and annual weather data for a period of 25 years. Findings -The exercise revealed that oak and pine forests have decreased, respectively, by 25 percent (4.48 km 2 ) and 3 percent (0.28 km 2 ) thus bringing a decline of 4.76 km 2 forest in the watershed during 1990 to 2010. But, due to climate change the mixed forest taking place of oak forest in certain pockets and consequently the mixed forest in the catchment increased by 18 percent (2.3 km 2 ) during the same period which reduced the overall loss of forests in the region but its not eco-friendly as the oak forest. Barren land increased 1.21 km 2 (56 percent), riverbed increased 0.78 km 2 (52 percent) and cultivated land increased about 0.63 km 2 (3 percent) during the period of 1990 to 2010. Out of the total seven classes of the land use land cover, five classes (i.e. Oak, Pine, Mixed, Barren and Riverbed) are being changed dominantly due to climate change factor and anthropogenic factors plays a supporting role whereas only two classes (scrub land and agricultural land) are being changed dominantly by anthropogenic factors and climate change factors plays a supporting role. Expansion of mixed forest land brought out due to upslope shifting of existing forest species due to climate change factor only because upslope areas getting warmer than past with the rate of 98C-128C/two decades. Consequently, the results concluded that the high rate of land use change accelerating several environmental problems such as high runoff, flash flood, river-line flood and soil erosion during monsoon season and drought during non-monsoon period. These environmental problems cause great loss to life and property and poses serious threat to the process of development with have far-reaching economic and social consequences. Originality/value -This study generated primary data on land use-informatics and climate-informatics to integrate each-other for impact assessment and mitigation through sustainable land use as constitutes a part of a multidisciplinary project, Department of Science and Technology (D.S.T.) Government of India.

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“…As early as 1985, Gautam and Chenniah prepared land-use and land-cover map of Tripura using Landsat imagery data. Kushwaha et al (2000) used remote sensing data in mapping the forests of Kaziranga National Park (Assam) for evaluating the habitat changes that occurred in the park after flood, while Chauhan et al (2003) analysed aerial photographs of 1976 and satellite data of IRS-1C,-LISS-III of 1999 and evaluated the changes in density of sal forest. In 2005, Lele et al (2005) used remote sensing data for analyzing forest cover dynamics in north-east India.…”

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Mapping of Landscape Cover Using Remote Sensing and GIS in Chandoli National Park, India

Imam¹

2011

mejs

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Humankind to fulfill its needs has put natural resources of the earth to a severe pressure. The rate of degradation and depletion of earth resources has accelerated tremendously in view of the overincreasing demographic pressure. Therefore, mapping of landscape cover types to evaluate it has been a great concern for forest and wildlife managers. Both managers find it very important to know how much area is suitable for wildlife species and what areas are affected due to anthropogenic pressure. To address these concerns in Chandoli National Park its land-use landcover and forest crown density were mapped. The National Park is situated in Western Ghats, India lying within 17 0 04' 00" N to 17 0 19' 54" N and 73 0 40' 43" E to 73 0 53' 09" E. In the present study, Remote Sensing (RS) and Geographical Information System (GIS) techniques were used. Remotely sensed data procured from satellite IRS-P6, LISS-III (2005) and collateral data generated from topographic maps were processed using ERDAS IMAGINE and ArcView softwares. Land-use land-cover map of the study area was prepared from satellite data using supervised maximum likelihood classification technique, which revealed that Park supports diversified landscape of scrubland (27.37%), grassland (20.05%), rejuvenated forest (22.40%) and evergreen forest (16.01%). On the other hand Normalized Difference Vegetation Index (NDVI) was used to prepare a forest crown density map, which revealed that majority of the forest cover (126.10 km 2) was under the crown density of 40-100%.

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Change detection in Sal forest in Dehradun Forest Division using remote sensing and geographical information system

Cited by 12 publications

References 3 publications

Insect Pests in Tropical Forestry

Insect Pests in Tropical Forestry

Climate change accelerating land use dynamic and its environmental and socio‐economic risks in the Himalayas

Mapping of Landscape Cover Using Remote Sensing and GIS in Chandoli National Park, India

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