Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Inder Tecuapetla-Gómez"'
Publikováno v:
Investigaciones Geográficas, Iss 109 (2022)
La península de Yucatán (LPY) alberga 32% de las selvas tropicales de México. Por ello esta zona presenta una alta densidad de nubes a lo largo del año, característica que resulta un reto particular para cualquier estudio de monitoreo de la vege
Externí odkaz:
https://doaj.org/article/c7e4ec154ec24536a4912dec8672d81a
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 4, p 267 (2021)
Earth observation (EO) data play a crucial role in monitoring ecosystems and environmental processes. Time series of satellite data are essential for long-term studies in this context. Working with large volumes of satellite data, however, can still
Externí odkaz:
https://doaj.org/article/37dc5e41b8ae4deeab49d5bf234457c9
Publikováno v:
Investigaciones Geográficas.
Presentamos los resultados de un análisis para determinar áreas quemadas en el área de protección de flora y fauna La Primavera (APFFLP) durante el periodo 2003 a 2016 utilizando series de tiempo de imágenes Landsat-7 del Índice de Vegetación
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d511026ed25f1fad96d51008177e40b4
https://doi.org/10.14350/rig.60418
https://doi.org/10.14350/rig.60418
Carbon sequestration and water filtering are two examples of the several ecosystem services provided by wetlands. Open water mapping is an effective means to measure any wetland extension as these are comprised of many open water bodies. An economica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de371509a5d63a6f6471c66270483c16
http://arxiv.org/abs/2106.07478
http://arxiv.org/abs/2106.07478
Publikováno v:
IEEE Transactions on NanoBioscience. 17:300-320
We propose a new model-free segmentation method, JULES, which combines recent statistical multiresolution techniques with local deconvolution for idealization of ion channel recordings. The multiresolution criterion takes into account scales down to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c50033ff7cea1b18d0478f6184997038
https://doi.org/10.1109/tnb.2018.2845126
https://doi.org/10.1109/tnb.2018.2845126
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 267, p 267 (2021)
ISPRS International Journal of Geo-Information
Volume 10
Issue 4
ISPRS International Journal of Geo-Information
Volume 10
Issue 4
Earth observation (EO) data play a crucial role in monitoring ecosystems and environmental processes. Time series of satellite data are essential for long-term studies in this context. Working with large volumes of satellite data, however, can still
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cf3a2e17fb74cfcb054717845609157
https://doi.org/10.3390/ijgi10040267
https://doi.org/10.3390/ijgi10040267
Autor:
Inder Tecuapetla-Gómez, Axel Munk
Publikováno v:
Scandinavian Journal of Statistics.
We discuss a class of difference-based estimators for the autocovariance in nonparametric regression when the signal is discontinuous and the errors form a stationary m-dependent process. These estimators circumvent the particularly challenging task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a685ac887649771c97ae8dbacff9584
https://doi.org/10.1111/sjos.12256
https://doi.org/10.1111/sjos.12256
Publikováno v:
Statistical Inference for Stochastic Processes. 15:225-239
We derive a large deviation result for the log-likelihood ratio for testing simple hypotheses in locally stationary Gaussian processes. This result allows us to find explicitly the rates of exponential decay of the error probabilities of type I and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c771d782f54715547e5199b6255381a2
https://doi.org/10.1007/s11203-012-9071-9
https://doi.org/10.1007/s11203-012-9071-9