Found 35 datasets matching "office of sustainability and environment".
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This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...
Search relevance: 45.59 | Views last month: 1 -
This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...
Search relevance: 44.80 | Views last month: 0 -
This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...
Search relevance: 44.49 | Views last month: 0 -
This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...
Search relevance: 44.49 | Views last month: 0 -
This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...
Search relevance: 44.32 | Views last month: 0 -
This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...
Search relevance: 43.31 | Views last month: 0 -
This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...
Search relevance: 42.74 | Views last month: 0 -
This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...
Search relevance: 42.68 | Views last month: 1 -
This layer is a high-resolution Tree Canopy layer for Seattle, Washington. Tree canopy was mapped by using remotely sensed data from 2021. No accuracy assessment was conducted, but the dataset was...
Search relevance: 42.24 | Views last month: 2 -
This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...
Search relevance: 42.24 | Views last month: 0 -
This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...
Search relevance: 42.24 | Views last month: 0 -
This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...
Search relevance: 41.90 | Views last month: 0 -
This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...
Search relevance: 41.85 | Views last month: 0 -
The Federal Green Challenge (FGC) is a national effort under EPA's Sustainable Materials Management (SMM) Program, challenging EPA and other federal agencies throughout the country to lead by...
Search relevance: 41.64 | Views last month: 1 -
This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...
Search relevance: 41.64 | Views last month: 1 -
This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...
Search relevance: 41.64 | Views last month: 0
