Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Luigi Boschetti"'
Publikováno v:
Science of Remote Sensing, Vol 7, Iss , Pp 100084- (2023)
This study describes the generation and comprehensive validation of 30 m Landsat-based annual percent tree cover and forest cover loss products for the conterminous United States (CONUS). The products define (i) forest status with respect to three th
Externí odkaz:
https://doaj.org/article/145fb1d4b9ab4597b268abe93b7e650d
Publikováno v:
International Journal of Digital Earth, Vol 12, Iss 4, Pp 460-484 (2019)
We characterize the agreement and disagreement of four publically available burned products (Fire CCI, Copernicus Burnt Area, MODIS MCD45A1, and MODIS MCD64A1) at a finer spatial and temporal scale than previous assessments using a grid of three-dime
Externí odkaz:
https://doaj.org/article/dc1696a5dd83428cb88f6a4ae7c631d6
Publikováno v:
Remote Sensing, Vol 14, Iss 14, p 3369 (2022)
Agricultural land extent and change information is needed to assess food security, the effectiveness of land use policy, and both environmental and societal impacts. This information is especially valuable in biodiversity hotspots such as the Mediter
Externí odkaz:
https://doaj.org/article/15561109173c4dcc95e2129127b18f0c
Publikováno v:
Remote Sensing, Vol 12, Iss 21, p 3506 (2020)
Stand-level maps of past forest disturbances (expressed as time since disturbance, TSD) are needed to model forest ecosystem processes, but the conventional approaches based on remotely sensed satellite data can only extend as far back as the first a
Externí odkaz:
https://doaj.org/article/fb64c885d3c04397a2523f0e74c22b6a
Autor:
Erik J. Boren, Luigi Boschetti
Publikováno v:
Remote Sensing, Vol 12, Iss 17, p 2803 (2020)
Despite the potential implications of a cropland canopy water content (CCWC) thematic product, no global remotely sensed CCWC product is currently generated. The successful launch of the Landsat-8 Operational Land Imager (OLI) in 2012, Sentinel-2A Mu
Externí odkaz:
https://doaj.org/article/e83a11b1524544b295847c42297803ad
Publikováno v:
Remote Sensing, Vol 12, Iss 2, p 202 (2020)
Clouds limit the quality and availability of optical wavelength surface observations from Earth Observation (EO) satellites. This limitation is particularly relevant for the generation of systematic thematic products from EO medium spatial resolution
Externí odkaz:
https://doaj.org/article/4f52041fff584139aeca95fefbf86d52
Publikováno v:
Remote Sensing, Vol 11, Iss 10, p 1236 (2019)
Radiative transfer model (RTM) inversion allows for the quantitative estimation of vegetation biochemical composition from satellite sensor data, but large uncertainties associated with inversion make accurate estimation difficult. The leaf structure
Externí odkaz:
https://doaj.org/article/00776bca84af45e8aa4580477936a58a
Autor:
Wade D. Steady, Raquel Partelli Feltrin, Daniel M. Johnson, Aaron M. Sparks, Crystal A. Kolden, Alan F. Talhelm, James A. Lutz, Luigi Boschetti, Andrew T. Hudak, Andrew S. Nelson, Alistair M. S. Smith
Publikováno v:
Fire, Vol 2, Iss 2, p 23 (2019)
Improved predictions of tree species mortality and growth metrics following fires are important to assess fire impacts on forest succession, and ultimately forest growth and yield. Recent studies have shown that North American conifers exhibit a ‘t
Externí odkaz:
https://doaj.org/article/8b7aee42e54d4279bcc2064f61ae35e1
Publikováno v:
Remote Sensing, Vol 11, Iss 5, p 477 (2019)
Forest ecosystems provide critical ecosystem goods and services, and any disturbance-induced changes can have cascading impacts on natural processes and human socioeconomic systems. Forest disturbance frequency, intensity, and spatial and temporal sc
Externí odkaz:
https://doaj.org/article/916cc663270547f6a3fafb73da0e14b0
Publikováno v:
Remote Sensing, Vol 5, Iss 10, Pp 5209-5264 (2013)
This paper complies with the Quality Assurance Framework for Earth Observation (QA4EO) international guidelines to provide a metrological/statistically-based quality assessment of the Spectral Classification of surface reflectance signatures (SPECL)
Externí odkaz:
https://doaj.org/article/f3cf3eed2a6540fab089a956f7cf50ab