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Displaying 541 - 545 of 661Prospects for geoinformatics-based precision farming in the Savanna River basin, Nigeria
A geoinformatics-based land suitability assessment approach was used to examine the prospects for precision farming in the Savanna River basin in Nigeria. The procedure involved the overlay analysis of land use, land cover characteristics interpreted on Landsat Thematic Mapper (TM) imagery and physico-chemical soil properties and nutrient attributes in line with FAO suitability guidelines and models. The empirical analysis revealed areas of high, moderate and marginal suitability for the cultivation of maize, yam, cassava and oil palm in the basin.
Use of MODIS NDVI data to improve forest-area estimation
The objective of this article is to develop and test a methodology capable of using medium spatial resolution satellite imagery to improve forest-area statistics derived from ground sampling. The methodology builds on the evidence that multitemporal Normalized Difference Vegetation Index (NDVI) images bring significant information on the spatial distribution of forest surfaces. Consequently, Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI images are potentially useful to improve forest-area assessment based on ground data.
Stream detection for LiDAR digital elevation models from a forested area
Airborne Laser Swath Mapping instrument technology and subsequent algorithm advances have made it possible over the last few years to map the Earth's surface and land cover at unprecedented resolution. The ability of Airborne Laser Swath Mapping technology to densely sample ground elevations beneath forest canopies is particularly important because forested watersheds have traditionally been difficult to study with remote sensing techniques.
Landsat-comparable land cover maps using ASTER and SPOT images: a case study for large-area mapping programmes
The long-term record of global Landsat data is an important resource for studying Earth's system. Given the identified gaps in Landsat data and the undetermined future status of Landsat data availability, alternatives to Landsat imagery need to be tested in an operational environment. In this study, forest land cover and crown closure maps generated from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and System Pour 1'Observation de la Terre (SPOT) data were compared to Landsat-based map products currently in use by the grizzly bear habitat-mapping program.
Segmented canonical discriminant analysis of in situ hyperspectral data for identifying 13 urban tree species
A total of 458 in situ hyperspectral data were collected from 13 urban tree species in the City of Tampa, FL, USA using a spectrometer. The 13 species include 11 broadleaf and two conifer species. Three different techniques, segmented canonical discriminant analysis (CDA), segmented principal component analysis (PCA) and segmented stepwise discriminate analysis (SDA), were applied and compared for dimension reduction and feature extraction.