The potential of satellite remote sensing of ecological conditions for survey and forecasting desert-locust activity
- 1 January 1985
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 6 (1) , 127-138
- https://doi.org/10.1080/01431168508948429
Abstract
Agricultural crops and rangeland resources over above 30 million km2 in some 55 Third World countries arc subject to ravages by the desert locust. Successful breeding, triggered by suitable ecological conditions when widespread rainfall results in development of vegetation in the desert-locust recession area, can produce rapid increases in desert-locust populations, resulting, if uncontrolled, in large numbers of highly mobile and devastating swarms containing billions of locusts. Satellite remote sensing offers the only possibility of monitoring the 16 million km2 desert-locust recession area situated largely in remote and inaccessible deserts of northern and eastern Africa, the Near East, and south-west Asia. Use of LANDSAT and National Oceanic and Atmospheric Administration (NOAA) satellite imagery for analyses of green vegetation blooms in desert-locust breeding areas suggests an operational programme based upon the NOAA Advanced Very-High-Resolution Radiometer sensorKeywords
This publication has 11 references indexed in Scilit:
- Red and near-infrared sensor response to off-nadiir viewingInternational Journal of Remote Sensing, 1984
- Multispectral remote sensing for the estimation of green leaf area indexPhilosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences, 1983
- Discrimination of growth and water stress in wheat by various vegetation indices through clear and turbid atmospheresRemote Sensing of Environment, 1983
- Dynamics of directional reflectance factor distributions for vegetation canopiesApplied Optics, 1983
- Adjusting the tasselled-cap brightness and greenness factors for atmospheric path radiance and absorption on a pixel by pixel basisInternational Journal of Remote Sensing, 1983
- Atmospheric effects on radiation reflected from soil and vegetation as measured by orbital sensors using various scanning directionsApplied Optics, 1982
- Temporal relationships between spectral response and agronomic variables of a corn canopyRemote Sensing of Environment, 1981
- Survey of methods for soil moisture determinationWater Resources Research, 1980
- Effect of atmospheric conditions on remote sensing of vegetation parametersRemote Sensing of Environment, 1980
- Red and photographic infrared linear combinations for monitoring vegetationRemote Sensing of Environment, 1979