Conclusions

This chapter has described a drought monitoring technique based on the estimation of green canopy stress from AVHRR-derived indices that characterize vegetation health, moisture, and thermal conditions. The products

Figure 6.1 continued

1993 March

M jfl

WmKPhf;

and data discussed in this chapter are delivered on real-time basis (every Monday) and are available on the Web (http://orbitnet.nesdi.noaa.gov/ crad/sat/vci). The data can detect global and regional vegetation health, moisture and thermal conditions, and fire risk potential, which are all related to droughts. An important part of this process is to develop a close cooperation with users and to receive their feedback on the performance of these products. Encouraging comments from various users from different countries have been received.

The National Environmental Satellite, Data and Information Service (NESDIS; www.nesdis.noaa.gov) provides two- to four-month-long hands-on (on-site) training on using this technology. This includes access to satellite data, hardware, and software. The users are required to match their country's conventional data with satellite-based products for validating the products and to develop new applications based on mutual interests. Another way of interaction with users is a long-term cooperation program. Among recent projects, the most successful cooperation, which led to the development of new PC-based data processing system and AVHRR-based crop yield models, was with China, Kazakhstan and Israel (supported by the U.S. Agency for International Development), and with Poland (supported by U.S.-Poland binational fund).

Figure 6.3 Vegetation health dynamics during the cotton-growing season in Shandong Province of China.

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