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Pietro Ceccato

Researcher at Columbia University

Publications -  88
Citations -  7200

Pietro Ceccato is an academic researcher from Columbia University. The author has contributed to research in topics: Normalized Difference Vegetation Index & Population. The author has an hindex of 32, co-authored 88 publications receiving 6263 citations.

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Detecting vegetation leaf water content using reflectance in the optical domain

TL;DR: In this paper, the authors investigated the potential and approaches for using optical remote sensing to assess vegetation water content at the leaf level using laboratory measurements, the radiative transfer model PROSPECT and a sensitivity analysis.
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Validation of satellite rainfall products over East Africa's complex topography

TL;DR: In this article, an extensive evaluation of 10 different satellite rainfall products was performed using station network over a complex topography, where elevation varies from below sea level to 4620 m. Evaluation was for two groups of products: low spatial (2.5°) and temporal (monthly) resolution, and the Tropical Rainfall Measuring Mission (TRMM-3B43).
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Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1 - Theoretical approach

TL;DR: In this paper, a spectral index is used to retrieve vegetation water content from remotely sensed data in the solar spectrum domain. But the spectral index was not optimized for the SPOT-VEGETATION sensor.
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Evaluation of MODIS land surface temperature data to estimate air temperature in different ecosystems over Africa

TL;DR: In this paper, the authors explore the possibility of retrieving high-resolution near surface air temperature (Ta) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) Ts products over different ecosystems in Africa.
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Validation of the CHIRPS satellite rainfall estimates over eastern Africa

TL;DR: In this article, the authors compared the performance of CHIRP and CHIRPS with two similar operation satellite rainfall products: the African Rainfall Climatology version 2 (ARC2) and the Tropical Applications of Meteorology using Satellite data (TAMSAT).