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Of these, 857 measurements and 200 study samples were obtained, as shown in Figure 3. Figure 3. Sub-meter to 10 m image details with a relatively good resolution for Pakistan. Illustration of Pakistan’s comparison training data obtained using high-resolution imagery sub-meter to 10 m. ...
Accurate land use and land cover (LULC) mapping is essential for scientific and decision-making purposes. The objective of this paper was to map LULC classes in the northern region of Mozambique between 2011 and 2020 based on Landsat time series processed by the Random Forest classifier in the...
HMMs use statistical techniques to infer unknown states (i.e., landcover classes) from a sequence of observations (i.e., remotely sensed measurements) in a time series dataset. A forward-backward HMM consists of several components: the initial state probability, or the probability that a ...
0.67. Samples extracted over the full agreement areas among existing datasets reduced uncertainty and provided reliable calibration sets as a replacement of costly in situ measurements. The methodology proposed by this study can be used to generate periodical high-resolution cropland maps in ZRB, ...
The sample points used in this study include the sample points collected by field measurements from 2016 to 2020. The offline sample point data were obtained from sub-meter GPS field measurement, and the offline sample points cover all urban areas of the province. The sample graph of the ...