Pengumuman: Semua project nonkomersial yang terdaftar untuk menggunakan Earth Engine sebelum
15 April 2025 harus
memverifikasi kelayakan nonkomersial untuk mempertahankan akses Earth Engine.
ee.Algorithms.TemporalSegmentation.VCT
Tetap teratur dengan koleksi
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Vegetation Change Tracker, pendekatan otomatis untuk merekonstruksi histori gangguan hutan baru-baru ini menggunakan tumpukan deret waktu Landsat yang padat.
Outputnya adalah array 2D per piksel yang berisi 6 baris x N tahun. Baris output berisi: tahun input, masker penutup lahan VCT, besarnya dalam istilah komposit UD, besarnya gangguan di B4, besarnya gangguan di NDVI, besarnya gangguan di dNBR.
Lihat: Huang, C., Goward, S.N., Masek, J.G., Thomas, N., Zhu, Z. dan Vogelmann, J.E., 2010. Pendekatan otomatis untuk merekonstruksi histori gangguan hutan baru-baru ini menggunakan tumpukan deret waktu Landsat yang padat. Remote Sensing of Environment, 114(1), hlm.183-198.
| Penggunaan | Hasil |
|---|
ee.Algorithms.TemporalSegmentation.VCT(timeSeries, landCover, maxUd, minNdvi, forThrMax, nYears) | Gambar |
| Argumen | Jenis | Detail |
|---|
timeSeries | ImageCollection | Koleksi yang akan diekstrak gangguan VCT-nya, yang berisi band: B3, B4, B5, B7, termal, NDVI, DNBR, dan COMP. Koleksi ini diharapkan berisi 1 gambar untuk setiap tahun, yang diurutkan berdasarkan waktu. |
landCover | ImageCollection | Koleksi yang akan digunakan untuk mengekstrak masker VCT. Kumpulan ini diharapkan berisi 1 gambar untuk setiap gambar dalam timeSeries, yang diurutkan berdasarkan waktu. |
maxUd | Float, default: 4 | Nilai gabungan skor Z maksimum untuk mendeteksi hutan. |
minNdvi | Float, default: 0,45 | Nilai NDVI minimum untuk hutan. |
forThrMax | Float, default: 3 | Nilai maksimum untuk hutan. |
nYears | Bilangan bulat, default: 30 | Jumlah tahun maksimum. |
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[[["\u003cp\u003eThe Vegetation Change Tracker (VCT) automatically reconstructs forest disturbance history using dense Landsat time series stacks.\u003c/p\u003e\n"],["\u003cp\u003eVCT identifies disturbances by analyzing changes in spectral indices like NDVI, dNBR, and UD composite over time.\u003c/p\u003e\n"],["\u003cp\u003eThe output provides a per-pixel disturbance magnitude for each year within the analyzed Landsat time series.\u003c/p\u003e\n"],["\u003cp\u003eUsers can customize parameters like maximum UD composite value and minimum NDVI for forest detection.\u003c/p\u003e\n"],["\u003cp\u003eVCT requires input Landsat time series collections with specific bands, including B3, B4, B5, B7, thermal, NDVI, DNBR, and COMP.\u003c/p\u003e\n"]]],["Vegetation Change Tracker (VCT) reconstructs forest disturbance history using Landsat time series. It requires yearly image collections of `timeSeries` (containing specific bands) and `landCover` to produce a per-pixel 2D array. This array contains information for each year, including the VCT landcover mask, and the magnitude of disturbances based on UD composite, B4, NDVI, and dNBR. VCT's function can be customized by using arguments like `maxUd`, `minNdvi`, `forThrMax`, and `nYears`.\n"],null,["# ee.Algorithms.TemporalSegmentation.VCT\n\nVegetation Change Tracker, an automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks.\n\n\u003cbr /\u003e\n\nThe output is a 2D array per pixel containing 6 rows x N years. The output rows contain: input years, VCT landcover mask, magnitude in term of the UD composite, magnitude of distubance in B4, magnitude of distubance in NDVI, magnitude of distubance in dNBR.\n\nSee: Huang, C., Goward, S.N., Masek, J.G., Thomas, N., Zhu, Z. and Vogelmann, J.E., 2010. An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks. Remote Sensing of Environment, 114(1), pp.183-198.\n\n| Usage | Returns |\n|-----------------------------------------------------------------------------------------------------------------------|---------|\n| `ee.Algorithms.TemporalSegmentation.VCT(timeSeries, landCover, `*maxUd* `, `*minNdvi* `, `*forThrMax* `, `*nYears*`)` | Image |\n\n| Argument | Type | Details |\n|--------------|----------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `timeSeries` | ImageCollection | Collection from which to extract VCT disturbances, containing the bands: B3, B4, B5, B7, thermal, NDVI, DNBR, and COMP. This collection is expected to contain 1 image for each year, sorted by time. |\n| `landCover` | ImageCollection | Collection from which to extract VCT masks. This collection is expected to contain 1 image for each image in the timeSeries, sorted by time. |\n| `maxUd` | Float, default: 4 | Maximum Z-score composite value for detecting forest. |\n| `minNdvi` | Float, default: 0.45 | Minimum NDVI value for forest. |\n| `forThrMax` | Float, default: 3 | Maximum threshold for forest. |\n| `nYears` | Integer, default: 30 | Maximum number of years. |"]]
