Human economic and social needs can be in conflict with ecosystem needs. Land development increases impervious surfaces causing significant negative impacts to aquatic ecosystems. Many impervious surface estimates are...Human economic and social needs can be in conflict with ecosystem needs. Land development increases impervious surfaces causing significant negative impacts to aquatic ecosystems. Many impervious surface estimates are derived from remote sensing data, developed by using different methods and often out of date. Remote sensing data is often at scales applicable to regional management, but not local planning decisions. To date, no standardized annual dataset of percent impervious surface exists for use at both local and watershed scales. Effective communication between natural resource managers and local planners has been lacking. One solution is to monitor percent impervious surface with a relative index rather than direct measure. A relative index model can use a currency, like foundation square feet per hectare, which is useful for all decision makers. One data source for developing a relative index of impervious surface is property tax data. These data document annual land development at local scale. Here, the author presents the use of Maryland property tax data to index land development and percent impervious surface.展开更多
Remote sensing techniques is used to quantify the total suspended matter concentration （CTSM）. In this study, we used remotely sensed data to retrieve the CTSM for the Taihu Lake, China, and developed an atmospheric...Remote sensing techniques is used to quantify the total suspended matter concentration （CTSM）. In this study, we used remotely sensed data to retrieve the CTSM for the Taihu Lake, China, and developed an atmospheric correction algorithm especially for CBERS-02B CCD data. We simulated the remote sensing reflectance （Rr~） of CCD bands using in-situ observations made in a cruise over the Taihu Lake in autumn 2004, from which a retrieval model is established with simulated Rrs（830） and measured CTSM. In addition, we applied the atmospheric correction algorithm and retrieval model to process the CCD data over the lake in 2008 and to retrieve the CTSM. The RMS relative error between the CTSM retrieved from MODIS and from the CCD images is about 42.9%, indicating that algorithms described in this paper can be used for the application of CCD data in monitoring the CTSM distribution in the Taihu Lake.展开更多
文摘Human economic and social needs can be in conflict with ecosystem needs. Land development increases impervious surfaces causing significant negative impacts to aquatic ecosystems. Many impervious surface estimates are derived from remote sensing data, developed by using different methods and often out of date. Remote sensing data is often at scales applicable to regional management, but not local planning decisions. To date, no standardized annual dataset of percent impervious surface exists for use at both local and watershed scales. Effective communication between natural resource managers and local planners has been lacking. One solution is to monitor percent impervious surface with a relative index rather than direct measure. A relative index model can use a currency, like foundation square feet per hectare, which is useful for all decision makers. One data source for developing a relative index of impervious surface is property tax data. These data document annual land development at local scale. Here, the author presents the use of Maryland property tax data to index land development and percent impervious surface.
基金Supported by the National Basic Research Program of China (973 Program) (No. 2009CB723903)
文摘Remote sensing techniques is used to quantify the total suspended matter concentration （CTSM）. In this study, we used remotely sensed data to retrieve the CTSM for the Taihu Lake, China, and developed an atmospheric correction algorithm especially for CBERS-02B CCD data. We simulated the remote sensing reflectance （Rr~） of CCD bands using in-situ observations made in a cruise over the Taihu Lake in autumn 2004, from which a retrieval model is established with simulated Rrs（830） and measured CTSM. In addition, we applied the atmospheric correction algorithm and retrieval model to process the CCD data over the lake in 2008 and to retrieve the CTSM. The RMS relative error between the CTSM retrieved from MODIS and from the CCD images is about 42.9%, indicating that algorithms described in this paper can be used for the application of CCD data in monitoring the CTSM distribution in the Taihu Lake.
