.sits_shp_to_tibble

sf object that contains a SHP file

sf_shape

Attribute in the shapefile used as a polygon label

shp_attr

label

Number of samples per polygon to be read
(for POLYGON or MULTIPOLYGON shapes)

.n_shp_pol

reads a shapefile and retrieves a sits tibble
containing a set of lat/long points for data retrieval

internal

A set of tools for working with satellite image time series, both as individual data or as part of data cubes.
Builds data cubes from collections in AWS, Brazil Data Cube, and Digital Earth Africa.
Provides different visualisation methods for image time series.
Provides smoothing methods for noisy time series.
Includes functions for smoothing based on Bayesian inference.
Enables different clustering methods, including dendrograms and self-organized maps (SOM).
Matches noiseless patterns with noisy time series using the time-weighted dynamic time warping (TWDTW) method for shape recognition.
Provides machine learning methods for time series classification, including support vector machines (SVM), random forests and deep learning.
Minimum recommended requirements: 8 GB RAM and 1 CPU dual-core.

Gilberto Camara

sits

Satellite Image Time Series Analysis for Remote Sensing Data Cubes

Rolf Simoes

Felipe Souza

Lorena Santos

Alexandre Carvalho

Pedro Andrade

Karine Ferreira

Alber Sanchez

Gilberto Queiroz

.sits_shp_to_tibble function

Obtain a tibble with lat/long points to be retrieved from a SHP — .sits_shp_to_tibble

Obtain a tibble with lat/long points to be retrieved from a SHP

.sits_shp_to_tibble: Obtain a tibble with lat/long points to be retrieved from a SHP

Description

Usage

Arguments

Value