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Remote Sensing for Vegetation and Climate Change | OMICS International
ISSN: 2469-4134
Journal of Remote Sensing & GIS
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Remote Sensing for Vegetation and Climate Change

Mukesh Singh Boori* and Komal Choudhary
Palacky University Olomouc, 17.listopadu 50, 771 46 Olomouc, Czech Republic
Corresponding Author : Mukesh Singh Boori
Palacky University Olomouc, 17.listopadu 50
771 46 Olomouc, Czech Republic
Tel: 0123456789
E-mail: [email protected], [email protected]
Received March 17, 2015; Accepted March 19, 2015; Published March 26, 2015
Citation: Boori MS, Choudhary K (2015) Remote Sensing for Vegetation and Climate Change. J Geophys Remote Sensing 4:e111. doi:10.4172/2469-4134.1000e111
Copyright: © 2015 Boori MS, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Our empathetic about how climate change will impact on natural vegetation are based on earlier research studies related to climate change, current observation of variation in climate change, some experiments and model simulation. Other than this, the change in temperature and precipitation is also affected the composition, structure and function of ecosystem. Changes in vegetation in response to climate change have begun to be observed within remote sensing datasets, particularly within more climatically extreme regions. Earlier studies find changes in growing season and productive with the help of remote sensing data. At the other end of the temperature spectrum, the Normalized Difference Vegetation Index (NDVI) has been widely used to evaluate the response of vegetation and precipitation. Warming climate, in contrast to other studies, has not promoted vegetation growth in the spring; instead, the greenness displayed a decrease in May and June. Although this seasonal browning is associated with human management, limited water availability in late spring and early summer is likely the root cause and ongoing warming would likely exacerbate this seasonal moisture shortage. For the desert steppe, a negative response of NDVI to increased temperature in both spring and autumn, and the conservation program seems to have produced few positive effects [1-10]. This result suggests that desert steppe will possibly be the most fragile vegetation type in a warmer world. The warming in this century differs from the warmer climate during the early and middle Holocene with respect to magnitude and seasonality, both of which would be not favourable to the vegetation in the future. Even if a much more intense rehabilitation effort is envisioned, it is unlikely that a reoccurrence of mid- Holocene vegetation cover levels will occur in the temperate dry lands of East Asia under current warming trends. The temperature and precipitation regimes under which tree species are currently able to establish and survive have been well described in the north-western United States, Europe and tropical ecosystems. These regimes have been used to predict how the distributions of individual tree species will be influenced by future climate using both correlative and quasi-mechanistic approaches. Several recent reviews have highlighted how anthropogenic changes in climate are likely to affect the biogeography and structure of different ecosystems, including Australian ecosystems, European forests, North American forests, boreal and arctic systems, semi-arid and arid riparian zones and coastal ecosystems. Specifically, a recent expert panel identified ten Australian ecosystems that they judged to be the most vulnerable to exhibiting large changes in ecosystem structure, condition, and function in response to small environmental changes [11-18]. These ecosystems included: mountainous environments, temperate eucalypt forests, tropical forests and savannahs, Mediterranean and semi-arid lands, floodplains and wetlands, and coral reefs. In Europe, Schroter et al. highlighted that Mediterranean and mountainous ecosystems were particularly vulnerable.


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