Assessment of tree resources outside forest based on Remote Sensing Satellite Data Glen (Glen, 2002) commented that the main lessons learned from the two projects, namely, Sudan Reforestation & Anti-desertification and Resource Assessment & Development projects between 1987 and 1993, is that satellite imagery without good ground verification can produce misleading results, and that there is a need for ground plots to supply details on volume, stem/ha, species, site conditions and land use. 
Objectives The objectives of TOF inventory are:
The remote sensing data can provide stratification of the TOF resources, which can be utilized to increase the precision level and may turn out time effective. Some time the objectives of TOF resource assessment may require spatial distribution of resources on maps along with several other features. This objective can be appropriately tackled by the use of aerial photographs and satellite imageries in the assessment procedure. High-resolution satellite imageries can provide information even up to identification of a single tree but these are cost prohibitive. Therefore, some other cost effective method is to be developed. The LISS III data, which is multi spectral, and has a resolution of 23.5 m ´ 23.5 m can provide information on vegetation cover. There are techniques available through which tree vegetated land can be segregated from agriculture land if the tree vegetated patch is about one ha and more. However, LISS data cannot be used for smaller patches or scattered trees. The IRS PAN data, which is monochrome, having resolution of 5.8 m ´ 5.8 m can identify a tree vegetated land even less than 0.1 ha. Therefore, if both LISS III and PAN imageries are used, the stratification of TOF resources can be appropriately carried out on the basis of geometrical formation of trees i.e. block plantation (i.e. group of trees), linear plantation and scattered trees. (Kleinn, C. 2000) 
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