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LOCUST REMOTE SENSING AND GIS<br />

183<br />

impact the economy <strong>and</strong> environment. Governments of these countries either<br />

independently or jointly (with their neighbors) are engaged in periodic monitoring<br />

<strong>and</strong> treatments to control locust populations <strong>and</strong> prevent them from damaging<br />

agricultural crops. Recently, efforts are underway to form a group of Central Asian<br />

<strong>and</strong> Caucasian countries to coordinate the locust population monitoring <strong>and</strong> control<br />

activities.<br />

Future locust habitat monitoring <strong>and</strong> surveying activities should incorporate<br />

remote sensing <strong>and</strong> GIS technologies for optimizing the resources available in these<br />

countries. Future work should also focus on testing the utility of remotely sensed<br />

data for mapping <strong>and</strong> monitoring the habitat of locust species that are yet to be<br />

studied. It is also encouraging that both the number of remote sensing satellites <strong>and</strong><br />

the countries that launch them have increased since early 1970s. In addition to<br />

government agencies several private companies have also launched remote sensing<br />

satellites that are collecting data for different parts of the world. With this increased<br />

availability of remotely sensed data (Table 2), users have a wide range of choice in<br />

terms of spatial, spectral <strong>and</strong> temporal resolutions while selecting imagery for a<br />

particular application. For example, images can be acquired more frequently <strong>by</strong><br />

obtaining data from different remote sensing satellites with complementary spatial<br />

<strong>and</strong> spectral resolutions (Section 2) providing the required information about locust<br />

habitat. Plant protection agencies <strong>and</strong> international <strong>org</strong>anizations must capitalize on<br />

these developments in terms of increased data availability.<br />

With more <strong>and</strong> more remotely sensed data distributed via the internet the time<br />

associated with obtaining the data has reduced tremendously. Previously data were<br />

mailed in tapes <strong>and</strong> discs <strong>and</strong> it could take several weeks thus reducing its<br />

usefulness. It is also important to note that not all countries or regions have access to<br />

high-speed internet. However, most remote sensing data can be downloaded directly<br />

from the satellites to ground receiving stations <strong>and</strong> processed in any country or<br />

region, thus avoiding the need to transfer large volumes of data through internet.<br />

Such activities require collaboration among international agencies (i.e., FAO),<br />

impacted countries, <strong>and</strong> satellite data vendors <strong>and</strong> agencies.<br />

REFERENCES<br />

Babah Ebbe, M. O. (2008). Biogéographie du Criquet pèlerin, Schistocerca gregaria Forskål, 1775 :<br />

identification, caractérisation et originalité d’un foyer grégarigène en Mauritanie centrale<br />

[Biogeography of the Desert locust Schistocerca gregaria Forskål, 1775: identification,<br />

characteristics <strong>and</strong> originality of the gregarization area in central Mauritania]. Unpublished doctoral<br />

dissertation, Ecole Pratique des Hautes Etudes, Paris, France.<br />

Belayneh, Y. T. (2005). Acridid pest management in the developing world: A challenge to the rural<br />

population, a dilemma to the international community. Journal of Orthoptera Research, 14, 187–195.<br />

Brader, L., Djibo, H., Faye, F. G., Ghaout, S., Lazar, M., Nguala, P. M., & Babah, M. A. O. (2006).<br />

Towards a more effective response to Desert locusts <strong>and</strong> their impacts on food security, livelihood<br />

<strong>and</strong> poverty. Independent Multilateral Evaluation of the 2003–2005 Desert locust campaign. FAO.<br />

Rome, <strong>Italy</strong>.<br />

Bryceson, K. P. (1984). Discrimination of small areas of vegetation growth after localised rain in semiarid<br />

environments using L<strong>and</strong>sat (pp. 541–550). Proceedings of the 3rd Australian Remote Sensing<br />

Conference.

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