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Google 글로벌 Landsat 기반 CCDC 세그먼트 (1999~2019)
이 컬렉션에는 20년간의 Landsat 표면 반사율 데이터에 연속 변화 감지 및 분류 (CCDC) 알고리즘을 실행하여 미리 계산된 결과가 포함되어 있습니다. CCDC는 동적 RMSE 기준점과 함께 고조파 피팅을 사용하여 시계열 데이터에서 중단점을 감지하는 중단점 찾기 알고리즘입니다. … change-detection google landcover landsat-derived landuse landuse-landcover -
JRC Global Surface Water Mapping Layers, v1.4
이 데이터 세트에는 1984년부터 2021년까지의 지상수의 위치 및 시간적 분포 지도와 이러한 수면의 범위 및 변화에 관한 통계가 포함되어 있습니다. 자세한 내용은 관련 저널 논문인 '전 세계의 표면수 및 그 변화에 관한 고해상도 매핑'을 참고하세요. change-detection geophysical google jrc landsat-derived surface -
MCD64A1.061 MODIS 화재 발생 지역 월별 전 세계 500m
Terra 및 Aqua의 결합된 MCD64A1 버전 6.1 화재 피해 지역 데이터 제품은 화재 피해 지역 및 품질 정보를 픽셀별로 포함하는 월별 전 세계 그리드 500m 제품입니다. MCD64A1 화재 피해 지역 매핑 접근 방식은 500m MODIS 표면 반사율 이미지와 1km MODIS 활성 화재 관측을 결합합니다. 알고리즘은 다음과 같습니다. burn change-detection fire geophysical global mcd64a1 -
USFS Landscape Change Monitoring System v2024.10 (미국 본토 및 해외 영토)
이 제품은 LCMS (Landscape Change Monitoring System) 데이터 모음의 일부입니다. 이 자료는 매년 LCMS 모델링된 변화, 토지 피복 또는 토지 이용 클래스를 보여주며, 미국 본토(CONUS)와 알래스카(AK), 푸에르토리코(PR) 등 미국 본토 외 지역(OCONUS)을 다룹니다. change-detection forest gtac landcover landuse landuse-landcover -
VNP64A1: 화재 발생 지역 월별 L4 전 세계 500m SIN 그리드
일일 Suomi National Polar-Orbiting Partnership(Suomi NPP) NASA Visible Infrared Imaging Radiometer Suite(VIIRS) 화재 피해 지역(VNP64A1) 버전 1 데이터 제품은 화재 피해 지역 및 품질 정보(픽셀당)가 포함된 전 세계 월별 격자형 500m 제품입니다. VNP64 화재 지역 매핑 접근 방식은 750m VIIRS … burn change-detection fire land nasa noaa
Datasets tagged change-detection in Earth Engine
[null,null,[],[[["\u003cp\u003eThis webpage features curated datasets focused on land change detection using satellite imagery.\u003c/p\u003e\n"],["\u003cp\u003eDatasets provide insights into surface water changes, burned areas, and land cover/use transformations.\u003c/p\u003e\n"],["\u003cp\u003eData sources include Landsat, MODIS, VIIRS, and algorithms like CCDC for analyzing temporal patterns.\u003c/p\u003e\n"],["\u003cp\u003eGlobal and regional coverage is offered, with examples such as the USFS Landscape Change Monitoring System.\u003c/p\u003e\n"],["\u003cp\u003eThe collection spans multiple decades, enabling long-term change analysis and monitoring efforts.\u003c/p\u003e\n"]]],[],null,["# Datasets tagged change-detection in Earth Engine\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Google Global Landsat-based CCDC Segments (1999-2019)](/earth-engine/datasets/catalog/GOOGLE_GLOBAL_CCDC_V1) |\n | This collection contains precomputed results from running the Continuous Change Detection and Classification (CCDC) algorithm on 20 years of Landsat surface reflectance data. CCDC is a break-point finding algorithm that uses harmonic fitting with a dynamic RMSE threshold to detect breakpoints in time-series data. The ... |\n | [change-detection](/earth-engine/datasets/tags/change-detection) [google](/earth-engine/datasets/tags/google) [landcover](/earth-engine/datasets/tags/landcover) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [landuse](/earth-engine/datasets/tags/landuse) [landuse-landcover](/earth-engine/datasets/tags/landuse-landcover) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### JRC Global Surface Water Mapping Layers, v1.4](/earth-engine/datasets/catalog/JRC_GSW1_4_GlobalSurfaceWater) |\n | This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its ... |\n | [change-detection](/earth-engine/datasets/tags/change-detection) [geophysical](/earth-engine/datasets/tags/geophysical) [google](/earth-engine/datasets/tags/google) [jrc](/earth-engine/datasets/tags/jrc) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [surface](/earth-engine/datasets/tags/surface) |\n\n-\n\n |-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### MCD64A1.061 MODIS Burned Area Monthly Global 500m](/earth-engine/datasets/catalog/MODIS_061_MCD64A1) |\n | The Terra and Aqua combined MCD64A1 Version 6.1 Burned Area data product is a monthly, global gridded 500m product containing per-pixel burned-area and quality information. The MCD64A1 burned-area mapping approach employs 500m MODIS Surface Reflectance imagery coupled with 1km MODIS active fire observations. The algorithm ... |\n | [burn](/earth-engine/datasets/tags/burn) [change-detection](/earth-engine/datasets/tags/change-detection) [fire](/earth-engine/datasets/tags/fire) [geophysical](/earth-engine/datasets/tags/geophysical) [global](/earth-engine/datasets/tags/global) [mcd64a1](/earth-engine/datasets/tags/mcd64a1) |\n\n-\n\n |-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### USFS Landscape Change Monitoring System v2024.10 (CONUS and OCONUS)](/earth-engine/datasets/catalog/USFS_GTAC_LCMS_v2024-10) |\n | This product is part of the Landscape Change Monitoring System (LCMS) data suite. It shows LCMS-modeled change, land cover, and/or land use classes for each year and covers the Conterminous United States (CONUS) as well as areas outside the CONUS (OCONUS) including Alaska (AK), Puerto ... |\n | [change-detection](/earth-engine/datasets/tags/change-detection) [forest](/earth-engine/datasets/tags/forest) [gtac](/earth-engine/datasets/tags/gtac) [landcover](/earth-engine/datasets/tags/landcover) [landuse](/earth-engine/datasets/tags/landuse) [landuse-landcover](/earth-engine/datasets/tags/landuse-landcover) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### VNP64A1: Burned Area Monthly L4 Global 500m SIN Grid](/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP64A1) |\n | The daily Suomi National Polar-Orbiting Partnership (Suomi NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Burned Area (VNP64A1) Version 1 data product is a monthly, global gridded 500m product containing per-pixel burned area and quality information. The VNP64 burned area mapping approach employs 750m VIIRS ... |\n | [burn](/earth-engine/datasets/tags/burn) [change-detection](/earth-engine/datasets/tags/change-detection) [fire](/earth-engine/datasets/tags/fire) [land](/earth-engine/datasets/tags/land) [nasa](/earth-engine/datasets/tags/nasa) [noaa](/earth-engine/datasets/tags/noaa) |"]]