Results 91 to 100 of about 74,949,253 (275)

Landsat 8 Surface Reflectance Analysis Ready Data 2020

open access: yes, 2022
Data for 2020 This dataset is the Landsat 8 Surface Reflectance Analysis Ready Data (ARD) collection archive for Switzerland, generated by USGS (https://www.usgs.gov/land-resources/nli/landsat/landsat-surface-reflectance). Detailed description about the
Richard, Jean-Philippe   +2 more
core   +1 more source

Time Series Extrinsic Regression for Smart Agriculture: Field‐Level Crop Yield Prediction From Multisource Agricultural Time Series

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT The growing availability of temporal data in agriculture has created new opportunities for data‐driven decision support systems aimed at improving the efficiency, sustainability, and adaptability of agricultural systems. Remote sensing platforms, weather‐related datasets, and field‐management records provide information on crop development and
Amalia Vanacore   +4 more
wiley   +1 more source

A new method for generating a clear-sky Landsat composite for cropland from cloud-contaminated Landsat-7 and Landsat-8 images

open access: yesInternational Journal of Digital Earth, 2017
A new method was developed in this study for producing a clear-sky Landsat composite for cropland from cloud-contaminated Landsat images acquired in a short time period. It used Thiel–Sen regression to normalize all Landsat scenes to a MODIS image to make all Landsat images radiometrically consistent and comparable.
Junhua Li, Shusen Wang
openaire   +2 more sources

Metode Klasifikasi Awan Pada Citra Landsat-8

open access: yes, 2018
Keberadaan awan pada citra satelit optis dapat mengganggu proses pengolahan dan analisis interpretasi citra, terutama bagi Indonesia yang merupakan negara tropis yang sering tertutup awan sepanjang tahun. Oieh karena itu, perlu dilakukan klasifikasi awan
Nunung Nurhayati   +2 more
core  

Consistency evaluation of landsat-7 and landsat-8 for improved monitoring of colored dissolved organic matter in complex water

open access: yes, 2022
A series of Landsat satellites has been widely used to monitor water quality in coastal and inland complex water, but a solo Landsat satellite may not provide enough information because of its long revisit time (16-day) and frequent cloud cover, and ...
Jiang Chen, Weining Zhu
core   +1 more source

Vulnerability to Dams of the Last Undammed Large Rivers of Southeast Asia

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT The vast majority of large Eurasian rivers are regulated by hydropower dams, but some have survived as free‐flowing rivers so far in the Arctic and along stretches of the Myanmar coast. There, the Ayeyarwady (Irrawaddy) and Salween Rivers, two of the largest rivers of Southeast Asia, provide a huge amount of sediment, nurturing floodplains and
Gruel Charles‐Robin   +1 more
wiley   +1 more source

Analyzing Remote Sensing Data in R: The landsat Package [PDF]

open access: yes
Research and development on atmospheric and topographic correction methods for multispectral satellite data such as Landsat images has far outpaced the availability of those methods in geographic information systems software.
Sarah C. Goslee
core  

Climate‐Driven Mangrove Dieback and Recovery: A Case Study in Albert and Leichhardt Rivers, Australia

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Cycles of dieback and recovery drove mangrove forest dynamics at the Albert and Leichhardt Rivers (Gulf of Carpentaria, Queensland, Australia) over 36 years (1987–2023). Landward margins were the most affected by reduced tidal inundation when the alignment of low lunar declination suppressed tidal range and extreme El Niño phases lowered mean sea level.
Rogerio Victor S. Gonçalves   +4 more
wiley   +1 more source

Development Of Annual Composite Algorithm Using Landsat-8 To Minimizes Cloud (Case Study: Southern Part Of Central Kalimantan)

open access: yes, 2016
Since January 2013, Landsat-8 data can be freely accessed from LAPAN, making it possible to use the all available Landsat-8 data to produce the cloud-free Landsat-8 composite images.
Kustiyo
core  

Environmental Stressors Influence Spatial Complexity in a Fluvial Macrophyte meadow

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This research investigates the nonlinear relationships between environmental stressors and the fine‐scale spatial complexity of a fluvial macrophytes meadow. The use of multivariate spatial analysis allowed us to identify two major environmental gradients (nutrients and light) and two major complexity gradients (related to abundance and fragmentation).
Arthur de Grandpré   +2 more
wiley   +1 more source

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