Zobrazeno 1 - 10
of 9 232
pro vyhledávání: '"Moderate-resolution imaging spectroradiometer"'
Publikováno v:
Environmental Systems Research, Vol 13, Iss 1, Pp 1-13 (2024)
Abstract Despite its significance, net primary productivity is rarely used as an indicator of climate change. The purpose of this study was to assess the spatiotemporal dynamics of vegetation net primary productivity and its response to climate varia
Externí odkaz:
https://doaj.org/article/649b3dce0f7f4956bbd2156445475b2d
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
Aerosols are microscopic liquid or solid particles that enter the atmosphere through natural and man-made processes. Time series trends and correlations of aerosol optical depth and cloud parameters over Addis Ababa have become the subject of scienti
Externí odkaz:
https://doaj.org/article/7d9228964b9d408b9366e14a21a613da
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14806-14822 (2024)
Land surface temperature (LST) is a crucial physical parameter for hydrological, meteorological, climatological, and climate change studies. To encourage the use of satellite-derived LST products in a wide range of applications, providing feedback on
Externí odkaz:
https://doaj.org/article/de2aa36a10004197b401830b0854ba7d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14762-14776 (2024)
Live fuel moisture content (LFMC) is a critical variable in improving fire risk estimations, which varies widely among different vegetation types and ecosystems. However, many regions do not have an operational LFMC mapping system, as such tools are
Externí odkaz:
https://doaj.org/article/12bb9fb3ee1341bb97c77cf423185b80
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15222-15242 (2024)
The satellite-derived surface urban heat island is often not properly distinguished from the in situ derived canopy-layer urban heat island in the field of remote sensing of urban climates. Yet, some studies have investigated their differences, focus
Externí odkaz:
https://doaj.org/article/da5e90b186df4f7d8d0f96f47e79209c
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12092-12111 (2024)
While it is crucial to monitor the spatio-temporal dynamics of forests at the subpixel scale, most available nonlinear methods are used to predict forest cover fraction maps only at the acquisition time of the training samples and are, thus, unable t
Externí odkaz:
https://doaj.org/article/4b72ba4f8b8a4862bc9fbefffaea494a
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1257-1268 (2024)
Currently, within the realm of deep learning-based spatiotemporal fusion algorithms, those that employ solely convolutional operations are unable to efficiently extract the global image information. In addition, fusion networks that employ a combinat
Externí odkaz:
https://doaj.org/article/d26b00445d5d44aa944a1402e8d30e3c
Autor:
Marinos Eliades, Stelios Neophytides, Michalis Mavrovouniotis, Constantinos F. Panagiotou, Maria N. Anastasiadou, Ioannis Varvaris, Christiana Papoutsa, Felix Bachofer, Silas Michaelides, Diofantos Hadjimitsis
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3317 (2024)
Long-term monitoring studies on the transition of different land cover units to barren areas are crucial to gain a better understanding of the potential challenges and threats that land surface ecosystems face. This study utilized the Moderate Resolu
Externí odkaz:
https://doaj.org/article/e9d256f6bb694d88923cf51be180f694
Publikováno v:
Geo-spatial Information Science, Pp 1-18 (2023)
Cotton is one of the most significant cash crops in the world, and it is also the main source of natural fiber for textiles. It is crucial for cotton management to identify the spatiotemporal distribution of cotton planting areas timely and accuratel
Externí odkaz:
https://doaj.org/article/b2e1f9dbe6af491782c06fce85b09354
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2727 (2024)
Continuous software development and widespread access to satellite imagery allow for obtaining increasingly accurate data on the natural environment. They play an important role in hydrosphere research, and one of the most frequently addressed issues
Externí odkaz:
https://doaj.org/article/9d9b5a6bc1934e33963bf974de389432