Barest Pixel Composite for Agricultural Areas Using Landsat Time Series [PDF]
Many soil remote sensing applications rely on narrow-band observations to exploit molecular absorption features. However, broadband sensors are invaluable for soil surveying, agriculture, land management and mineral exploration, amongst others.
Sanne Diek +3 more
doaj +8 more sources
Making Landsat Time Series Consistent: Evaluating and Improving Landsat Analysis Ready Data [PDF]
Recently, the United States Geological Survey (USGS) has released a new dataset, called Landsat Analysis Ready Data (ARD), which is designed specifically for facilitating time series analysis.
Shi Qiu +5 more
doaj +2 more sources
Time-Series Landsat Data for 3D Reconstruction of Urban History [PDF]
Accurate quantification of vertical structure (or 3D structure) and its change of a city is essential for understanding the evolution of urban form, and its social and ecological consequences.
Wenjuan Yu +4 more
doaj +3 more sources
Estimating Afforestation Area Using Landsat Time Series and Photointerpreted Datasets
Afforestation processes, natural and anthropogenic, involve the conversion of other land uses to forest, and they represent one of the most important land use transformations, influencing numerous ecosystem services.
Alice Cavalli +9 more
doaj +3 more sources
Farmland Shelterbelt Age Mapping Using Landsat Time Series Images
The age of a shelterbelt is not only an important parameter for determining the function of a shelterbelt, it is also strongly related to the biomass and carbon flux of shelterbelt ecosystems. Therefore, timely and accurate identifications of shelterbelt
Rongxin Deng +5 more
doaj +3 more sources
Understanding Land Use Conflicts With Landsat Time Series [PDF]
Time series analysis of remote sensing data is an efficient method for observing, monitoring, and characterizing land use/cover change (LUCC). However, it is challenging to integrate local knowledge into these estimations to improve the explanation of ...
J. García Hernández +2 more
doaj +2 more sources
A Long Time-Series Radiometric Normalization Method for Landsat Images [PDF]
Radiometric normalization attempts to normalize the radiomimetic distortion caused by non-land surface-related factors, for example, different atmospheric conditions at image acquisition time and sensor factors, and to improve the radiometric consistency
Wei Wu +6 more
doaj +3 more sources
An analysis of Landsat 7 and Landsat 8 underflight data and the implications for time series investigations [PDF]
Abstract The newly launched Landsat 8 satellite continues the long and extremely important record of Earth observation from the Landsat program. We analyzed differences between Landsat 7 and Landsat 8 surface reflectances and cirrus cloud characterization to address how substitutable Landsat 8 observations are within this long archive.
Curtis Woodcock, Christopher Holden
exaly +2 more sources
A Batch Pixel-Based Algorithm to Composite Landsat Time Series Images
Compositing is a fundamental pre-processing for remote sensing images. Landsat series optical satellite images are influenced by cloud coverage, acquisition time, sensor types, and seasons, which make it difficult to obtain continuous cloud-free ...
Jianzhou Li, Jinji Ma, Xiaojiao Ye
doaj +2 more sources
MODELLING BIOPHYSICAL PARAMETERS OF MAIZE USING LANDSAT 8 TIME SERIES [PDF]
Open and free access to multi-frequent high-resolution data (e.g. Sentinel – 2) will fortify agricultural applications based on satellite data. The temporal and spatial resolution of these remote sensing datasets directly affects the applicability of ...
T. Dahms +3 more
doaj +3 more sources

