نتایج جستجو برای: rapideye

تعداد نتایج: 257  

Journal: :Remote Sensing 2012
Francesco Vuolo Jadunandan Dash Paul J. Curran Dulce Lajas Ewa J. Kwiatkowska

A methodology is described for the validation of Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) data over heterogeneous land surfaces in an agricultural region in Southern Italy. The approach involves the use inverse canopy reflectance modeling techniques to derive maps of canopy chlorophyll content (CCC) and leaf area index (LAI) at fine spatial resolution....

2018
Xin Zhang Bingfang Wu Liang Zhu Fuyou Tian Miao Zhang Yuanzeng

The Three Gorges Dam, a massive cross-century project spans the Yangtze River by the town of Sandouping, located in Yichang, Hubei province, China, was built to provide great power, improve the River shipping, control floods in the upper reaches of the Yangtze River, and increase the dry season flow in the middle and lower reaches of the Yangtze River. Benefits are enormous and comprehensive. H...

Journal: :Remote Sensing 2016
Carolina Barrientos Cristian Mattar Theodoros Nakos Waldo Perez

The absolute radiometric calibration of a satellite sensor is the critical factor that ensures the usefulness of the acquired data for quantitative applications on remote sensing. This work presents the results of the first cross-calibration of the sensor on board the Sistema Satelital de Observación de la Tierra (SSOT) Chilean satellite or Air Force Satellite FASat-C. RapidEye-MSI was chosen a...

Journal: :Remote Sensing 2014
Robert Behling Sigrid Roessner Karl Segl Birgit Kleinschmit Hermann Kaufmann

Reliable multi-temporal landslide detection over longer periods of time requires multi-sensor time series data characterized by high internal geometric stability, as well as high relative and absolute accuracy. For this purpose, a new methodology for fully automated co-registration has been developed allowing efficient and robust spatial alignment of standard orthorectified data products origin...

Journal: :Remote Sensing 2015
Sophie Bontemps Marcela Arias Cosmin Cara Gérard Dedieu Eric Guzzonato Olivier Hagolle Jordi Inglada Nicolas Matton David Morin Ramona Popescu Thierry Rabaute Mickael Savinaud Guadalupe Sepulcre Silvia Valero Ijaz Ahmad Agnès Bégué Bingfang Wu Diego de Abelleyra Alhousseine Diarra Stéphane Dupuy Andrew French Ibrar ul Hassan Akhtar Nataliia Kussul Valentine Lebourgeois Michel Le Page Terrence Newby Igor V. Savin Santiago R. Verón Benjamin Koetz Pierre Defourny

Developing better agricultural monitoring capabilities based on Earth Observation data is critical for strengthening food production information and market transparency. The Sentinel-2 Remote Sens. 2015, 7, 16062–16090; doi:10.3390/rs71215815 www.mdpi.com/journal/remotesensing Remote Sens. 2015, 7, 16062–16090 mission has the optimal capacity for regional to global agriculture monitoring in ter...

Journal: :Ciencia Rural 2022

ABSTRACT: Continued unsustainable exploitation of natural resources promotes environmental degradation and threatens the preservation dry forests around world. This situation exposes fragility necessity to study landscape transformations. In addition, it is necessary consider biomass quantity establish strategies monitor anthropic disturbances. Thus, this research analyzed relationship between ...

Journal: :IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2022

Landslides have caused tremendous damage to human lives and property safety. However, the complex environment of mountain landslides vegetation coverage around make it difficult identify quickly efficiently using high-resolution images. To address this challenge, article presents a feature-based constraint deep U-Net (FCDU-Net) method detect rainfall-induced mountainous landslides. Usually, in ...

2014
Alata Elatawneh Adelheid Wallner Ioannis Manakos Thomas Schneider Thomas Knoke

This study is a part of a research program that investigates the potential of RapidEye (RE) satellite data for timely updates of forest cover databases to reflect both regular management activities and sudden changes due to bark beetle and storms. Applied here in the Bavarian Forest National Park (BFNP) in southeastern Germany, this approach detected even small changes between two data takes, t...

Journal: :The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2016

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