In using data from remote sensing for inventories and particularly in studying issues related to land use, it is a good practice to complement the data with ground reference data: data from remote sensing need to be validated against empirical data that can be collected independently or obtained from forest and agricultural inventories. Data from remote sensing, and analyses based on such data, are always interpretations, the accuracy of which can be increased when validated with field information. This cross-check should be done regardless of resolution and source.
Land-use systems that are rapidly changing over the estimation period or that have features known to be easily misclassified should be more intensively ground-truthed than other areas. This can only be done by using ground reference data, preferably from independent actual ground surveys. High-resolution photographs may also be useful.
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