排序方式： 共有4条查询结果，搜索用时 15 毫秒
1
1.
Improving a drought early warning model for an arid region using a soil-moisture index 总被引：2，自引：0，他引：2
This study modifies a drought early warning model for Jodhpur district of Rajasthan State in India. The model had employed only two variables derived from the daily rainfall data and estimated pearl millet yield in order to issue a drought early warning. In this study, the model is modified by including an additional variable derived from a soil-moisture index. The modified model explained up to 77.3 percent of the yield variation. When tested, the mean absolute percent error in the estimated yield was 13.7 percent in the case of the modified model as opposed to 18.5% in the case of the existing model. The soil-moisture index and other variables derived from the rainfall data could be potential candidates for developing drought early warning models for other arid regions. 相似文献
2.
The advanced very high resolution radiometer (AVHRR) and moderate resolution imaging spectroradiometer (MODIS) data are being widely used for vegetation monitoring across the globe. However, sensors will discontinue collecting these data in the near future. National Aeronautics and Space Administration is planning to launch a new sensor, visible infrared imaging radiometer suite (VIIRS), to continue to provide satellite data for vegetation monitoring. This article presents a case study of Guatemala and compares the simulated VIIRS-Normalized Difference Vegetation Index (NDVI) with MODIS-NDVI for four different dates each in 2003 and 2005. The dissimilarity between VIIRS-NDVI and MODIS-NDVI was examined on the basis of the percent difference, the two-tailed student's t-test, and the coefficient of determination, R 2. The per cent difference was found to be within 3%, the p-value ranged between 0.52 and 0.99, and R 2 exceeded 0.88 for all major types of vegetation (basic grains, rubber, sugarcane, coffee and forests) found in Guatemala. It was therefore concluded that VIIRS will be almost equally capable of vegetation monitoring as MODIS. 相似文献
3.
Vijendra Kumar Pandey 《自然地理学》2013,34(6):510-536
Landslides are frequent natural disasters in mountainous regions, particularly in the Himalayas in India during the southwest monsoon season. Although scientific study of landslides has been in progress for years, no significant achievement has been made to preclude landsliding and allay disasters. This research was undertaken to understand the areal distribution of landslides based on geological formations and geomorphological processes, and to provide more precise information regarding slope instability and mechanisms of failure. After completing a landslide inventory, prepared through field investigation and satellite image analysis, 493 landslides, comprising 131 investigated in the field and 362 identified from satellite imagery, were identified and mapped. The areal distribution of these landslides shows that sites more prone to landsliding have moderate to steep slopes, the lithology of the Lesser Himalayan formations, and excavations for road corridors. Landslide susceptibility zones were delineated for the area using the weight-of-evidence method on the basis of the frequency and distribution of landslides. Weights of selected variables were computed on the basis of severity of triggering factors. The accuracy of landslide susceptibility zones, calculated statistically (R2 = .93), suggests high accuracy of the model for predicting landsliding in the area. 相似文献
4.
S. S. Ramya V. U. Deshmukh Vijendra J. Khandekar C. Padmakar L. SuriNaidu Piyush K. Mahore Paras R. Pujari D. Panaskar P. K. Labhasetwar V. V. S. G. Rao 《Environmental Earth Sciences》2013,69(7):2437-2450
The present study assesses the impact of the ash ponds on the groundwater quality in the sub-watershed surrounding the ash ponds in the vicinity of Koradi near Nagpur in Maharashtra, India. Observation wells have been set up for monitoring of water level and groundwater quality for major cations, anions and trace elements. Samples (23 nos.) have been collected in pre-monsoon and post-monsoon seasons during 2008 and 2009, and analysis indicates that the sulphate concentration is very high (>1,000 mg/L) in samples close to the ash pond and in its downstream direction. The fluoride concentration exceeds the BIS limits in one sample. 相似文献
1