국립자연휴양림 45개소의 2020년부터 2023년 08월까지 사용한 고객을 대상으로 10대~100대까지의 연령대별 이용 분석현황 자료입니다.

The data consists of date and time of use, activity and number of individuals visiting specific sites. This data was collected by using camera traps to monitor visitors of two mitigation areas that are being restored to riparian forests.

We summarized annual remote sensing land cover classifications from the U.S. Geological Survey Land Cover Monitoring, Assessment, and Projection (LCMAP) annual time series to characterize the frequency of forest change across the conterminous United States (CONUS) between 1985-2020. Tabular output includes information on 1) the area classified as forest in each State by year, 2) the forest area in each frequency class (1 - 36 years) in each State, and 3) the forest area and proportion of total forest area that has changed (or not changed) in each State over the entire time series (1985-2020).

■ 상품 설명 및 특징 - '2024 산림 빅데이터 플랫폼 데이터 기반 분석과제 수행' 사업 중 '숲길 방문객 데이터 분석' 과제의 결과로 도출된 분석용 데이터셋 - 제공되는 데이터는 2023년 1월부터 12월까지의 유동인구 데이터를 기반으로 국가 숲길에 방문한 방문객 수를 집계한 데이터 - 제공되는 데이터는 웨슬리퀘스트의 데이터 전처리 기술로 정제 가공한 데이터 ■ 기간 및 범위 - 2023년 1월 ~ 2023년 12월 (주단위) - 대관령숲길, 내포문화숲길 불교순례길, 지리산둘레길 인월-금계 및 주천-운봉 코스 ■ 활용 예제 - 본 데이터 상품을 활용하여 사용자는 다음과 같은 정보를 확인할 수 있습니다. 1) 2023년 국가숲길 및 코스별 방문객 규모 및 특성 2) 2023년 계절, 월, 주차, 시간대별 방문객 밀집도 [원본 데이터](https://www.bigdata-forest.kr/product/WSQ000401)는 로그인 후 구매하여 다운로드 하십시오.

This database contains all long-term vegetation monitoring data related to elk (Cervus elaphus) reintroduction and management in GRSM. Each vegetation plot consists of an exclosure plot and a paired control plot. Also included in the database are all data related to exclosure damage from tree fall or other disturbance and exclosure repairs. All work has been performed by GRSM Resource Management & Science staff.

Nighttime roadside spotlight counts of white-tailed deer in Cades Cove, Great Smoky Mountains National Park

We will visit two 5k segments within GRSM as part of a larger research study on the Appalachian Trail to take an array of measurements on the condition of the A.T. tread and to map informal (visitor-created) trails, and assess all recreation sites (shelters, campsites, day-use sites). Our field crew has three staff and this work can be conducted in approximately 3 days. All measurements are non-destructive. No biological materials are sampled or collected.

This dataset contains the recreation opportunity information that the Forest Service collects through the Recreation Portal and shares with the public on https://www.recreation.gov, the Forest Service World Wide Web pages (https://www.fs.usda.gov/) and the Interactive Visitor Map. This recreation data contains detailed descriptions of recreational sites, areas, activities & facilities. This published dataset consists of one point feature class for recreational areas, one spatial view and three related tables such as activities, facilities & rec area advisories. The purpose of each related table is described below RECAREAACTIVITIES: This related table contains information about the activities that are associated with the rec area.RECAREAFACILITIES: This related table contains information about the amenities that are associated with the rec area. RECAREAADVISORIES: This table contains events, news, alerts and warnings that are associated with the rec area.RECAREAACTIVITIES_V: This spatial view/feature class is generated by joining the RECAREAACTIVITIES table to the RECREATION OPPORTUNITIES Feature Class. Please note that the RECAREAID is the unique identifier present in point feature class and in the related tables as well. The RECAREAID is used as foreign key to access relate records.This published data is updated nightly from an XML feed maintained by the CIO Rec Portal team. This data is intended for public use and distribution. Metadata