Update README.md

README.md

@@ -408,6 +408,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
 * [Pixel Decoder](https://github.com/Geoyi/pixel-decoder) - A machine learning python package to run deep learning with satellite imagery.
 * [PixelLib](https://github.com/ayoolaolafenwa/PixelLib) - Pixellib is a library for performing segmentation of images. It suports both Semantic Segmentation as Instance Segmentation.
 * [platypus](https://github.com/maju116/platypus) - R package for object detection and image segmentation.
+* [Presto](https://github.com/nasaharvest/presto) - Lightweight, Pre-trained Transformers for Remote Sensing Timeseries.
 * [Raster Vision](https://github.com/azavea/raster-vision) - An open source framework for deep learning on satellite and aerial imagery.
 * [segment-geospatial](https://github.com/opengeos/segment-geospatial) - Meta AI' Segment Anything Model (SAM) for Geospatial Data
 * [sentinel-tree-cover](https://github.com/wri/sentinel-tree-cover) - Image segmentations of trees outside forest.
@@ -855,6 +856,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
 * [mapclassify](https://github.com/pysal/mapclassify) - Classification schemes for choropleth mapping.
 * [momepy](https://github.com/martinfleis/momepy) - Momepy is a library for quantitative analysis of urban form - urban morphometrics.
 * [MovingPandas](https://github.com/anitagraser/movingpandas) - Implementation of Trajectory classes and functions built on top of GeoPandas.
+* [ MuseoToolBox](https://github.com/nkarasiak/MuseoToolBox) - Museo ToolBox is a python library to simplify the use of raster/vector, especially for machine learning and remote sensing.
 * [networkit](https://github.com/networkit/networkit) - NetworKit is a growing open-source toolkit for large-scale network analysis.
 * [networkx](http://networkx.github.io/) - To work with networks.
 * [NodeBox-opengl](http://www.cityinabottle.org/nodebox/) - For playing around with animations.
@@ -1036,6 +1038,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
 * [kuenm](https://github.com/marlonecobos/kuenm) - kuenm is an R package designed to make the process of model calibration and final model creation easier and more reproducible, and at the same time more robust.
 * [landmap](https://github.com/EnvirometriX/landmap) - Provides methodology for automated mapping i.e. spatial interpolation and/or prediction using Ensemble Machine Learning.
 * [Landsat](https://cran.r-project.org/web/packages/landsat/index.html) - Radiometric and topographic correction of satellite imagery.
+* [LandsatTS](https://github.com/logan-berner/LandsatTS) - An R package to facilitate retrieval, cleaning, cross-calibration, and phenological modeling of Landsat time-series data.
 * [landscapemetrics](https://github.com/r-spatialecology/landscapemetrics) - landscapemetrics is an R package for calculating landscape metrics for categorical landscape patterns in a tidy workflow.
 * [latticeDensity](https://cran.r-project.org/web/packages/latticeDensity/index.html) -  Contains functions that compute the lattice-based density estimator of Barry and McIntyre.
 * [lawn](https://cran.r-project.org/web/packages/lawn/index.html) - Client for 'Turfjs' for 'geospatial' analysis. The package revolves around using 'GeoJSON' data.