-
Segmen CCDC Google Global berbasis Landsat (1999-2019)
Koleksi ini berisi hasil prakomputasi dari algoritma Continuous Change Detection and Classification (CCDC) pada data pantulan permukaan Landsat selama 20 tahun. CCDC adalah algoritma penemuan titik henti sementara yang menggunakan penyesuaian harmonis dengan nilai minimum RMSE dinamis untuk mendeteksi titik henti sementara dalam data deret waktu. … change-detection google landcover landsat-derived landuse landuse-landcover -
Lapisan Pemetaan Permukaan Air Global JRC, v1.4
Set data ini berisi peta lokasi dan distribusi temporal air permukaan dari tahun 1984 hingga 2021 dan memberikan statistik tentang luas dan perubahan permukaan air tersebut. Untuk informasi selengkapnya, lihat artikel jurnal terkait: Pemetaan resolusi tinggi air permukaan global dan … change-detection geophysical google jrc landsat-derived surface -
MCD64A1.061 MODIS Burned Area Monthly Global 500m
Produk data Area Terbakar MCD64A1 Versi 6.1 gabungan Terra dan Aqua adalah produk bulanan global dengan petak 500 m yang berisi informasi kualitas dan area terbakar per piksel. Pendekatan pemetaan area terbakar MCD64A1 menggunakan citra Pantulan Permukaan MODIS 500 m yang digabungkan dengan pengamatan kebakaran aktif MODIS 1 km. Algoritma … burn change-detection fire geophysical global mcd64a1 -
USFS Landscape Change Monitoring System v2024.10 (CONUS dan OCONUS)
Produk ini adalah bagian dari suite data Landscape Change Monitoring System (LCMS). Peta ini menampilkan perubahan, tutupan lahan, dan/atau kelas penggunaan lahan sesuai model LCMS untuk setiap tahun dan mencakup Amerika Serikat Daratan (CONUS) serta area di luar CONUS (OCONUS) termasuk Alaska (AK), Puerto … change-detection forest gtac landcover landuse landuse-landcover -
VNP64A1: Burned Area Monthly L4 Global 500m SIN Grid
Produk data Area Terbakar (VNP64A1) Versi 1 Suomi National Polar-Orbiting Partnership (Suomi NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) harian adalah produk global bulanan dengan petak 500 m yang berisi informasi kualitas dan area terbakar per piksel. Pendekatan pemetaan area terbakar VNP64 menggunakan VIIRS 750 m … 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) |"]]