THE ITSENSING JOURNAL ·

변화하는 지구를 더 선명하게 이해하세요.

실제 위성 리뷰, 원격탐사 방법 및 GIS 워크플로. 과학을 탐험하고 한계를 이해하고 다음 프로젝트를 iT Sensing로 가져갑니다.

2880의 의 은4의논하기

방법 및 분석

Thermal Comparisons for Urban Districts: Sentinel-3 SLSTR

기사 읽기 ↗

학술지 살펴보기

검색 기사모든 주제

방법 및 분석

SAR Speckle Filtering for Maize: Sentinel-1 GRD

Explore sar speckle filtering for Maize with Sentinel-1 GRD: data preparation, accuracy checks and GIS delivery for your ITSensing remote sensing workflow.

8 읽음기사 읽기 ↗

제품정보

Rare Target Validation for Seagrass: JRC Surface Water

Explore rare target validation for Seagrass with JRC Surface Water: data preparation, accuracy checks and GIS delivery for your ITSensing remote sensing workflow.

8 읽음기사 읽기 ↗

방법 및 분석

Spectral Index Thresholds for Vineyards: MODIS Reflectance

Explore spectral index thresholds for Vineyards with MODIS Reflectance: data preparation, accuracy checks and GIS delivery for your ITSensing remote sensing workflow.

8 읽음기사 읽기 ↗

GIS 통합

Zonal Statistics for Soybeans: ASTER GDEM

Explore zonal statistics for Soybeans with ASTER GDEM: data preparation, accuracy checks and GIS delivery for your ITSensing remote sensing workflow.

8 읽음기사 읽기 ↗

GIS 통합

NoData Handling for Soybeans: JRC Surface Water

Explore nodata handling for Soybeans with JRC Surface Water: data preparation, accuracy checks and GIS delivery for your ITSensing remote sensing workflow.

8 읽음기사 읽기 ↗

방법 및 분석

Band Consistency for Rubber Plantations: HLS L30/S30

Explore band consistency for Rubber Plantations with HLS L30/S30: data preparation, accuracy checks and GIS delivery for your ITSensing remote sensing workflow.

8 읽음기사 읽기 ↗

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Seasonal Image Selection for Wetlands: Landsat 8/9 Reflectance

Explore seasonal image selection for Wetlands with Landsat 8/9 Reflectance: data preparation, accuracy checks and GIS delivery for your ITSensing remote sensing workflow.

8 읽음기사 읽기 ↗

방법 및 분석

Seasonal Image Selection for Soybeans: MODIS Reflectance

Explore seasonal image selection for Soybeans with MODIS Reflectance: data preparation, accuracy checks and GIS delivery for your ITSensing remote sensing workflow.

8 읽음기사 읽기 ↗

제품정보

Time Series Gap Filling for Potatoes: MODIS Reflectance

Explore time series gap filling for Potatoes with MODIS Reflectance: data preparation, accuracy checks and GIS delivery for your ITSensing remote sensing workflow.

8 읽음기사 읽기 ↗

방법 및 분석

Image Compositing for Mine Reclamation: Sentinel-2 L2A

Explore image compositing for Mine Reclamation with Sentinel-2 L2A: data preparation, accuracy checks and GIS delivery for your ITSensing remote sensing workflow.

8 읽음기사 읽기 ↗

방법 및 분석

SAR Decibel Averaging for Urban Fringes: Sentinel-1 GRD

Explore sar decibel averaging for Urban Fringes with Sentinel-1 GRD: data preparation, accuracy checks and GIS delivery for your ITSensing remote sensing workflow.

8 읽음기사 읽기 ↗

방법 및 분석

Image Compositing for Oil Palm: Landsat 8/9 Reflectance

Explore image compositing for Oil Palm with Landsat 8/9 Reflectance: data preparation, accuracy checks and GIS delivery for your ITSensing remote sensing workflow.

8 읽음기사 읽기 ↗