데이터셋 상세
미국
LANDFIRE 2023 Succession Class (SClass) AK
LANDFIRE’s (LF) 2023 Succession Class (SClass) categorizes current vegetation composition and structure into up to five successional classes, with successional classes defined in the appropriate Biophysical Settings (BpS) Model. There are two additional categories for uncharacteristic species (exotic or invasive vegetation), and uncharacteristic native vegetation cover, structure, or composition. Current successional classes and their historical reference conditions are compared to assess departure of vegetation characteristics. The classification schemes used to produce BpS and SClass may vary slightly between adjacent map zones, and reference conditions may be simulated independently in different map zones for the same BpS.
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연관 데이터
LANDFIRE 2023 Succession Class (SClass) AK
공공데이터포털
LANDFIRE’s (LF) 2023 Succession Class (SClass) categorizes current vegetation composition and structure into up to five successional classes, with successional classes defined in the appropriate Biophysical Settings (BpS) Model. There are two additional categories for uncharacteristic species (exotic or invasive vegetation), and uncharacteristic native vegetation cover, structure, or composition. Current successional classes and their historical reference conditions are compared to assess departure of vegetation characteristics. The classification schemes used to produce BpS and SClass may vary slightly between adjacent map zones, and reference conditions may be simulated independently in different map zones for the same BpS.
LANDFIRE 2023 Succession Class (SClass) HI
공공데이터포털
LANDFIRE’s (LF) 2023 Succession Class (SClass) categorizes current vegetation composition and structure into up to five successional classes, with successional classes defined in the appropriate Biophysical Settings (BpS) Model. There are two additional categories for uncharacteristic species (exotic or invasive vegetation), and uncharacteristic native vegetation cover, structure, or composition. Current successional classes and their historical reference conditions are compared to assess departure of vegetation characteristics. The classification schemes used to produce BpS and SClass may vary slightly between adjacent map zones, and reference conditions may be simulated independently in different map zones for the same BpS.
LANDFIRE 2022 Succession Class (SClass) HI
공공데이터포털
LANDFIRE’s (LF) 2022 Succession Class (SClass) categorizes current vegetation composition and structure into up to five successional classes, with successional classes defined in the appropriate Biophysical Settings (BpS) Model. There are two additional categories for uncharacteristic species (exotic or invasive vegetation), and uncharacteristic native vegetation cover, structure, or composition. Current successional classes and their historical reference conditions are compared to assess departure of vegetation characteristics. The classification schemes used to produce BpS and SClass may vary slightly between adjacent map zones, and reference conditions may be simulated independently in different map zones for the same BpS.
LANDFIRE 2022 Succession Class (SClass) CONUS
공공데이터포털
LANDFIRE’s (LF) 2022 Succession Class (SClass) categorizes current vegetation composition and structure into up to five successional classes, with successional classes defined in the appropriate Biophysical Settings (BpS) Model. There are two additional categories for uncharacteristic species (exotic or invasive vegetation), and uncharacteristic native vegetation cover, structure, or composition. Current successional classes and their historical reference conditions are compared to assess departure of vegetation characteristics. The classification schemes used to produce BpS and SClass may vary slightly between adjacent map zones, and reference conditions may be simulated independently in different map zones for the same BpS.
LANDFIRE 2022 Succession Class (SClass) CONUS
공공데이터포털
LANDFIRE’s (LF) 2022 Succession Class (SClass) categorizes current vegetation composition and structure into up to five successional classes, with successional classes defined in the appropriate Biophysical Settings (BpS) Model. There are two additional categories for uncharacteristic species (exotic or invasive vegetation), and uncharacteristic native vegetation cover, structure, or composition. Current successional classes and their historical reference conditions are compared to assess departure of vegetation characteristics. The classification schemes used to produce BpS and SClass may vary slightly between adjacent map zones, and reference conditions may be simulated independently in different map zones for the same BpS.
LANDFIRE 2023 Succession Class (SClass) CONUS
공공데이터포털
LANDFIRE’s (LF) 2023 Succession Class (SClass) categorizes current vegetation composition and structure into up to five successional classes, with successional classes defined in the appropriate Biophysical Settings (BpS) Model. There are two additional categories for uncharacteristic species (exotic or invasive vegetation), and uncharacteristic native vegetation cover, structure, or composition. Current successional classes and their historical reference conditions are compared to assess departure of vegetation characteristics. The classification schemes used to produce BpS and SClass may vary slightly between adjacent map zones, and reference conditions may be simulated independently in different map zones for the same BpS.
LANDFIRE 2023 Succession Class (SClass) CONUS
공공데이터포털
LANDFIRE’s (LF) 2023 Succession Class (SClass) categorizes current vegetation composition and structure into up to five successional classes, with successional classes defined in the appropriate Biophysical Settings (BpS) Model. There are two additional categories for uncharacteristic species (exotic or invasive vegetation), and uncharacteristic native vegetation cover, structure, or composition. Current successional classes and their historical reference conditions are compared to assess departure of vegetation characteristics. The classification schemes used to produce BpS and SClass may vary slightly between adjacent map zones, and reference conditions may be simulated independently in different map zones for the same BpS.
LANDFIRE Remap 2016 Succession Class (SClass) HI
공공데이터포털
LANDFIRE's (LF) Remap Succession Class (SClass) categorizes current vegetation composition and structure into up to five successional classes, with successional classes defined in the appropriate Biophysical Settings (BpS) Model. There are two additional categories for uncharacteristic species (exotic or invasive vegetation), and uncharacteristic native vegetation cover, structure, or composition. Current successional classes and their historical reference conditions are compared to assess departure of vegetation characteristics. To calculate vegetation departure from historical reference conditions, SClass is combined with BpS and LF map zone data to create LF Historical Reference Condition tables. The classification schemes used to produce BpS and SClass may vary slightly between adjacent map zones, and reference conditions are simulated independently for each map zone. Departure can be further quantified by using the Interagency Fire Regime Condition Class Guidebook (FRCC Guidebook) methods (Hann et al. 2010).
LANDFIRE Remap 2016 Succession Class (SClass) HI
공공데이터포털
LANDFIRE's (LF) Remap Succession Class (SClass) categorizes current vegetation composition and structure into up to five successional classes, with successional classes defined in the appropriate Biophysical Settings (BpS) Model. There are two additional categories for uncharacteristic species (exotic or invasive vegetation), and uncharacteristic native vegetation cover, structure, or composition. Current successional classes and their historical reference conditions are compared to assess departure of vegetation characteristics. To calculate vegetation departure from historical reference conditions, SClass is combined with BpS and LF map zone data to create LF Historical Reference Condition tables. The classification schemes used to produce BpS and SClass may vary slightly between adjacent map zones, and reference conditions are simulated independently for each map zone. Departure can be further quantified by using the Interagency Fire Regime Condition Class Guidebook (FRCC Guidebook) methods (Hann et al. 2010).
LANDFIRE Remap 2016 Succession Class (SClass) CONUS
공공데이터포털
LANDFIRE's (LF) Remap Succession Class (SClass) categorizes current vegetation composition and structure into up to five successional classes, with successional classes defined in the appropriate Biophysical Settings (BpS) Model. There are two additional categories for uncharacteristic species (exotic or invasive vegetation), and uncharacteristic native vegetation cover, structure, or composition. Current successional classes and their historical reference conditions are compared to assess departure of vegetation characteristics. To calculate vegetation departure from historical reference conditions, SClass is combined with BpS and LF map zone data to create LF Historical Reference Condition tables. The classification schemes used to produce BpS and SClass may vary slightly between adjacent map zones, and reference conditions are simulated independently for each map zone. Departure can be further quantified by using the Interagency Fire Regime Condition Class Guidebook (FRCC Guidebook) methods (Hann et al. 2010).