WPS: A whole phenology-based spectral feature selection method for mapping winter crop from time-series images

M Liu, W He, H Zhang - ISPRS Journal of Photogrammetry and Remote …, 2024 - Elsevier
Accurately obtaining the spatial distribution and planting patterns of crops is very important
for agricultural planning and food security. At present, time-series images have been proved …

Evaluation of speckle filtering configurations on Sentinel-1 SAR backscatter analysis ready data (S1ARD) preparation framework on the google earth engine platform …

DA Novresiandi, A Setiyoko, N Indriasari… - Remote Sensing …, 2024 - Elsevier
Implementing the Sentinel-1 SAR backscatter analysis ready data (S1ARD) preparation
framework to Sentinel-1 C-band SAR data in the Google Earth Engine platform potentially …

Effects of wind speed and wind direction on crop yield forecasting using dynamic time warping and an ensembled learning model

B Bediako-Kyeremeh, TH Ma, H Rong, BK Osibo… - PeerJ, 2024 - peerj.com
The cultivation of cashew crops carries numerous economic advantages, and countries
worldwide that produce this crop face a high demand. The effects of wind speed and wind …

An automatic method for rice mapping in Taishan, China using Sentinel-1A Time-series images

G Tian, H Li, X Feng, Q Jiang, N Li, Z Guo… - Remote Sensing …, 2024 - Taylor & Francis
Quickly and accurately obtaining information on rice planting areas is crucial for maintaining
food security and social stability. Based on the time series of Sentinel-1A images, this study …

Crop type identification using spatio-temporal fusion of multi-source remote sensing data based on time-weighted dynamic time warping

S Fang, H Li, Y Liu, X Liu, Y Hu… - Journal of Applied Remote …, 2024 - spiedigitallibrary.org
The spatiotemporal distribution information of crops is essential. However, remote sensing
mapping still faces challenges, such as fragmented land plots, cloud cover, and changes in …

Optimizing Land Use and Land Cover Mapping Through Dynamic Time Warping with Time-Weighted Analysis

SV Gandabathula, S Manne… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
This research study focuses on the precise classification of land objects in the region of
Kanigiri, Andhra Pradesh, utilizing Sentinel-2 satellite data. The primary objective is to …

Monitoring land cover change and its estimated carbon loss in the Nusantara capital city Indonesia on high-resolution planet satellite imagery

GA Chulafak, G Nugroho, P Sofan… - Eighth …, 2024 - spiedigitallibrary.org
Nusantara is a city currently under construction to serve as the future capital city of
Indonesia, replacing DKI Jakarta. It is located on the island of Kalimantan/Borneo …

Three Essays Applying Dynamic Models in Economics, Finance, and Machine Learning

LC Dowiak - 2024 - academicworks.cuny.edu
This dissertation is a composition in three parts. Collectively, these essays investigate
dynamic methods and their application in the fields of Economics, Finance, and Machine …

[PDF][PDF] Clasificación satelital de cultivos por reconocimiento de patrones en el Valle de Limarí, Chile.

AAT Araya - 2024 - researchgate.net
El conocimiento de la superficie y composición de cultivos en un área en particular permite
la toma de decisiones en la planificación territorial gubernamental y la operación de …

Crop-Net: A Novel Deep Learning Framework for Crop Classification using Time-series Sentinel-1 Imagery by Google Earth Engine

ST Seydi, H Arefi, M Hasanlou - 2023 - researchsquare.com
Agricultural land management relies heavily on accurate and timely estimation of
uncultivated land. Geographical heterogeneity limits the ability of the model to map crops at …