LANDFIRE 2023 Forest Canopy Cover (CC) HI

Name: LANDFIRE 2023 Forest Canopy Cover (CC) HI
Creator: Department of the Interior
Published: 2026-01-17T10:56:10+08:00

data.gov2026-01-17 收录

树冠覆盖监测

遥感生态评估

数据链接：

https://catalog.data.gov/dataset/landfire-2023-forest-canopy-cover-cc-hi-2480f 数据链接链接失效反馈

官方服务：

资源简介：

LANDFIRE's 2023 Update (LF 2023) Forest Canopy Cover (CC) describes the percent cover of the tree canopy in a stand. CC is a vertical projection of the tree canopy...

提供机构：

Department of the Interior

Great Lakes Restoration Initiative's Terrestrial Habitats & Connectivity Work Group's Pilot Area's Pre-Fiscal Year 2021 Forest Habitat Connectivity

森林栖息地连通性评估

海草生态系统恢复

This dataset is the first installment of a yearly connectivity update for forested habitat within the Great Lakes Restoration Initiative's (GLRI) Terrestrial Habitats...

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Renesting propensity, intervals, and reproductive success data for the Northern Great Plains Piping Plover, a threatened shorebird species 2014-2016

濒危鸟类繁殖生态学

种群动态监测

This data set is part of a data release as a companion to a to be published manuscript titled "Low renesting propensity and reproductive success make renesting...

data.gov00

Flume facility data collection at the S.O. Conte Anadromous Fish Research Laboratory in Turners Falls, MA for the 2016-2017 Fishway Entrance Gate Project

溯河鱼类行为研究

鱼道工程评估

This data was collected over the course of two years, from 2016 to 2017, within the flume facility laboratory. The research project that was conducted evaluated...

data.gov00

Prioritizing Fish Reintroductions in Lower Abrams Creek, Great Smoky Mountains National Park Based on Ecological Benefit and Source Population Integrity.

水生动物生态恢复

物种重引入规划

Field methods include the capture of fishes using backpack electrofishing using the same methodologies employed by Great Smoky Mountains National Park fish...

data.gov00

DataSheet1_Eco-environmental quality assessment of the artificial oasis of Ningxia section of the Yellow River with the MRSEI approach.ZIP

遥感生态评估

绿洲监测

Remote sensing ecological index (RSEI) has the advantages of rapid, repeatable and relatively accurate in regional eco-environment quality assessment. Due to the lack of consideration of the interacti

NIAID Data Ecosystem00

LANDFIRE 2023 Forest Canopy Cover (CC) HI

资源简介：

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