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5,303 Results Found

  • Article
  • Open Access
43 Citations
6,201 Views
18 Pages

25 January 2022

Accurate and timely crop type mapping and rotation monitoring play a critical role in crop yield estimation, soil management, and food supplies. To date, to our knowledge, accurate mapping of crop types remains challenging due to the intra-class vari...

  • Article
  • Open Access
27 Citations
4,456 Views
19 Pages

Rapid and Automated Mapping of Crop Type in Jilin Province Using Historical Crop Labels and the Google Earth Engine

  • Feng Zhi,
  • Zhenhua Dong,
  • Suri Guga,
  • Yongbin Bao,
  • Aru Han,
  • Jiquan Zhang and
  • Yulong Bao

18 August 2022

In the context of climate change, the remote sensing identification of crops is extremely important for the rapid development of agricultural economy and the detailed assessment of the agro-meteorological disasters. The Jilin Province is the main gra...

  • Article
  • Open Access
29 Citations
4,585 Views
19 Pages

17 May 2022

Knowledge about crop type distribution is valuable information for effective management of agricultural productivity, food security estimation, and natural resources protection. Algorithms for automatic crop type detection have great potential to pos...

  • Article
  • Open Access
52 Citations
9,843 Views
16 Pages

Fusion of Moderate Resolution Earth Observations for Operational Crop Type Mapping

  • Nathan Torbick,
  • Xiaodong Huang,
  • Beth Ziniti,
  • David Johnson,
  • Jeff Masek and
  • Michele Reba

4 July 2018

Crop type inventory and within season estimates at moderate (<30 m) resolution have been elusive in many regions due to the lack of temporal frequency, clouds, and restrictive data policies. New opportunities exist from the operational fusion of L...

  • Article
  • Open Access
469 Views
23 Pages

Machine-Learning Crop-Type Mapping Sensitivity to Feature Selection and Hyperparameter Tuning

  • Mayra Perez-Flores,
  • Frédéric Satgé,
  • Jorge Molina-Carpio,
  • Renaud Hostache,
  • Ramiro Pillco-Zolá,
  • Diego Tola,
  • Elvis Uscamayta-Ferrano,
  • Lautaro Bustillos,
  • Marie-Paule Bonnet and
  • Celine Duwig

11 February 2026

To improve crop yields and incomes, farmers consistently adapt their practices to climate and market fluctuations, resulting in highly variable crop field distribution and coverage in space and time. As these dynamics illustrate farmers’ challe...

  • Article
  • Open Access
66 Citations
10,186 Views
13 Pages

Using Sentinel-1, Sentinel-2, and Planet Imagery to Map Crop Type of Smallholder Farms

  • Preeti Rao,
  • Weiqi Zhou,
  • Nishan Bhattarai,
  • Amit K. Srivastava,
  • Balwinder Singh,
  • Shishpal Poonia,
  • David B. Lobell and
  • Meha Jain

11 May 2021

Remote sensing offers a way to map crop types across large spatio-temporal scales at low costs. However, mapping crop types is challenging in heterogeneous, smallholder farming systems, such as those in India, where field sizes are often smaller than...

  • Article
  • Open Access
34 Citations
4,383 Views
15 Pages

7 February 2021

In situ ground truth data are an important requirement for producing accurate cropland type map, and this is precisely what is lacking at vast scales. Although volunteered geographic information (VGI) has been proven as a possible solution for in sit...

  • Article
  • Open Access
2 Citations
1,565 Views
11 Pages

22 November 2024

This study investigates the impact of crop type and soil characteristics on greenhouse gas (GHG) emissions in Latvian agriculture, offering insights directly relevant to policymakers and practitioners focused on sustainable land management. From 2020...

  • Article
  • Open Access
31 Citations
6,084 Views
16 Pages

Early Identification of Crop Type for Smallholder Farming Systems Using Deep Learning on Time-Series Sentinel-2 Imagery

  • Haseeb Rehman Khan,
  • Zeeshan Gillani,
  • Muhammad Hasan Jamal,
  • Atifa Athar,
  • Muhammad Tayyab Chaudhry,
  • Haoyu Chao,
  • Yong He and
  • Ming Chen

5 February 2023

Climate change and the COVID-19 pandemic have disrupted the food supply chain across the globe and adversely affected food security. Early estimation of staple crops can assist relevant government agencies to take timely actions for ensuring food sec...

  • Article
  • Open Access
28 Citations
6,975 Views
16 Pages

1 February 2020

Long-term temporal and spatial information of crop type supports a wide range of applications including hydrological and climatological studies. In the U.S., yearly crop data layers (CDLs) are available starting in the early 2000s and have been devel...

  • Article
  • Open Access
46 Citations
6,275 Views
27 Pages

2 January 2020

Timely and accurate crop type mapping is a critical prerequisite for the estimation of water availability and environmental carrying capacity. This research proposed a method to integrate time series Sentinel-1 (S1) and Sentinel-2 (S2) data for crop...

  • Article
  • Open Access
2 Citations
2,593 Views
11 Pages

Investigating the Use of Street-Level Imagery and Deep Learning to Produce In-Situ Crop Type Information

  • Fernando Orduna-Cabrera,
  • Marcial Sandoval-Gastelum,
  • Ian McCallum,
  • Linda See,
  • Steffen Fritz,
  • Santosh Karanam,
  • Tobias Sturn,
  • Valeria Javalera-Rincon and
  • Felix F. Gonzalez-Navarro

30 August 2023

The creation of crop type maps from satellite data has proven challenging and is often impeded by a lack of accurate in situ data. Street-level imagery represents a new potential source of in situ data that may aid crop type mapping, but it requires...

  • Article
  • Open Access
27 Citations
5,824 Views
24 Pages

Identification of Crop Type Based on C-AENN Using Time Series Sentinel-1A SAR Data

  • Zhengwei Guo,
  • Wenwen Qi,
  • Yabo Huang,
  • Jianhui Zhao,
  • Huijin Yang,
  • Voon-Chet Koo and
  • Ning Li

12 March 2022

Crop type identification is the initial stage and an important part of the agricultural monitoring system. It is well known that synthetic aperture radar (SAR) Sentinel-1A imagery provides a reliable data source for crop type identification. However,...

  • Article
  • Open Access
14 Citations
5,688 Views
20 Pages

8 May 2023

Crop type mapping at high resolution is crucial for various purposes related to agriculture and food security, including the monitoring of crop yields, evaluating the potential effects of natural disasters on agricultural production, analyzing the po...

  • Article
  • Open Access
4 Citations
1,445 Views
20 Pages

3 June 2024

We present a study on the effectiveness of using varying data sizes to transfer crop type classification models from one year to the next, emphasizing the balance between data sufficiency and model accuracy. The significance of crop detection through...

  • Article
  • Open Access
53 Citations
5,530 Views
22 Pages

20 March 2022

Large-scale crop type mapping often requires prediction beyond the environmental settings of the training sites. Shifts in crop phenology, field characteristics, or ecological site conditions in the previously unseen area, may reduce the classificati...

  • Article
  • Open Access
25 Citations
3,017 Views
18 Pages

27 June 2023

In-season crop-type maps are required for a variety of agricultural monitoring and decision-making applications. The earlier the crop type maps of the current growing season are obtained, the more beneficial it is for agricultural decision-making and...

  • Article
  • Open Access
13 Citations
4,130 Views
20 Pages

30 October 2022

High-resolution crop type mapping is of importance for site-specific agricultural management and food security in smallholder farming regions, but is challenging due to limited data availability and the need for image-based algorithms. In this paper,...

  • Article
  • Open Access
59 Citations
7,089 Views
19 Pages

15 July 2021

Accurate crop type maps play an important role in food security due to their widespread applicability. Optical time series data (TSD) have proven to be significant for crop type mapping. However, filling in missing information due to clouds in optica...

  • Article
  • Open Access
34 Citations
10,899 Views
29 Pages

Cropland and Crop Type Classification with Sentinel-1 and Sentinel-2 Time Series Using Google Earth Engine for Agricultural Monitoring in Ethiopia

  • Christina Eisfelder,
  • Bruno Boemke,
  • Ursula Gessner,
  • Patrick Sogno,
  • Genanaw Alemu,
  • Rahel Hailu,
  • Christian Mesmer and
  • Juliane Huth

29 February 2024

Cropland monitoring is important for ensuring food security in the context of global climate change and population growth. Freely available satellite data allow for the monitoring of large areas, while cloud-processing platforms enable a wide user co...

  • Article
  • Open Access
4 Citations
2,461 Views
25 Pages

Representation Learning of Multi-Spectral Earth Observation Time Series and Evaluation for Crop Type Classification

  • Andrea González-Ramírez,
  • Clement Atzberger,
  • Deni Torres-Roman and
  • Josué López

23 January 2025

Remote sensing (RS) spectral time series provide a substantial source of information for the regular and cost-efficient monitoring of the Earth’s surface. Important monitoring tasks include land use and land cover classification, change detecti...

  • Article
  • Open Access
333 Citations
17,558 Views
24 Pages

Assessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery

  • Jordi Inglada,
  • Marcela Arias,
  • Benjamin Tardy,
  • Olivier Hagolle,
  • Silvia Valero,
  • David Morin,
  • Gérard Dedieu,
  • Guadalupe Sepulcre,
  • Sophie Bontemps and
  • Benjamin Koetz
  • + 1 author

22 September 2015

Crop area extent estimates and crop type maps provide crucial information for agricultural monitoring and management. Remote sensing imagery in general and, more specifically, high temporal and high spatial resolution data as the ones which will be a...

  • Article
  • Open Access
4 Citations
1,781 Views
19 Pages

Region and Crop Type Influenced Fungal Diversity and Community Structure in Agricultural Areas in Qinghai Province

  • Lianyu Zhou,
  • Xuelan Ma,
  • Longrui Wang,
  • Wenjuan Sun,
  • Yu Liu,
  • Yun Ma,
  • Huichun Xie and
  • Feng Qiao

The differences in soil fungal communities in four agricultural areas growing wheat (Triticum aestivum), rapeseed (Brassica napus), and barley (Hordeum vulgare) in the Qinghai Province, namely the Dulan (DL), Gonghe (GH), Huzhu (HZ), and Datong (DT)...

  • Article
  • Open Access
759 Views
13 Pages

The Hetao irrigation area is one of the largest irrigation areas in the Yellow River Basin and a typical salinized agricultural area. Crop type shifts in this area can alter soil phosphorus (P) morphology and microbial functional diversity, thereby i...

  • Article
  • Open Access
261 Citations
18,424 Views
21 Pages

26 April 2016

High temporal and spatial resolution optical image time series have been proven efficient for crop type mapping at the end of the agricultural season. However, due to cloud cover and image availability, crop identification earlier in the season is di...

  • Article
  • Open Access
7 Citations
2,892 Views
23 Pages

3 July 2023

Large-scale crop mapping is of fundamental importance to tackle food security problems. SAR remote sensing has lately received great attention for crop type mapping due to its stability in the revisit cycle and is not hindered by cloud cover. However...

  • Article
  • Open Access
61 Citations
10,693 Views
25 Pages

Land Cover and Crop Type Classification along the Season Based on Biophysical Variables Retrieved from Multi-Sensor High-Resolution Time Series

  • François Waldner,
  • Marie-Julie Lambert,
  • Wenjuan Li,
  • Marie Weiss,
  • Valérie Demarez,
  • David Morin,
  • Claire Marais-Sicre,
  • Olivier Hagolle,
  • Frédéric Baret and
  • Pierre Defourny

13 August 2015

With the ever-increasing number of satellites and the availability of data free of charge, the integration of multi-sensor images in coherent time series offers new opportunities for land cover and crop type classification. This article investigates...

  • Article
  • Open Access
18 Citations
7,818 Views
27 Pages

23 November 2021

This paper provides recommendations on how large-scale household surveys should be conducted to generate the data needed to train models for satellite-based crop type mapping in smallholder farming systems. The analysis focuses on maize cultivation i...

  • Communication
  • Open Access
9 Citations
2,721 Views
15 Pages

25 August 2022

This investigation evaluates the potential of combining Copernicus Sentinel-1 (S1) and Sentinel-2 (S2) satellite data in producing a detailed Land Use and Land Cover (LULC) map with 19 crop type classes and 2 broader categories containing Woodland/Sh...

  • Article
  • Open Access
61 Citations
7,825 Views
16 Pages

Designing a European-Wide Crop Type Mapping Approach Based on Machine Learning Algorithms Using LUCAS Field Survey and Sentinel-2 Data

  • Babak Ghassemi,
  • Aleksandar Dujakovic,
  • Mateusz Żółtak,
  • Markus Immitzer,
  • Clement Atzberger and
  • Francesco Vuolo

23 January 2022

One of the most challenging aspects of obtaining detailed and accurate land-use and land-cover (LULC) maps is the availability of representative field data for training and validation. In this manuscript, we evaluate the use of the Eurostat Land Use...

  • Article
  • Open Access
1 Citations
2,014 Views
24 Pages

3 July 2025

A timely and accurate distribution of crop types and cropping patterns provides a crucial reference for the management of agriculture and food security. However, accurately mapping crop types and cropping patterns in subtropical hilly and mountainous...

  • Feature Paper
  • Article
  • Open Access
78 Citations
16,896 Views
43 Pages

Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning

  • Sherrie Wang,
  • Stefania Di Tommaso,
  • Joey Faulkner,
  • Thomas Friedel,
  • Alexander Kennepohl,
  • Rob Strey and
  • David B. Lobell

11 September 2020

High resolution satellite imagery and modern machine learning methods hold the potential to fill existing data gaps in where crops are grown around the world at a sub-field level. However, high resolution crop type maps have remained challenging to c...

  • Case Report
  • Open Access
14 Citations
4,929 Views
14 Pages

Remote Detection of Large-Area Crop Types: The Role of Plant Phenology and Topography

  • Yanfei Wei,
  • Xinhua Tong,
  • Gang Chen,
  • Deqiang Liu and
  • Zhenfeng Han

Sustainable agricultural practices necessitate accurate baseline data of crop types and their detailed spatial distribution. Compared with field surveys, remote sensing has demonstrated superior performance, offering spatially explicit crop distribut...

  • Article
  • Open Access
19 Citations
6,661 Views
25 Pages

29 July 2022

Appropriate crop type mapping to monitor and control land management is very important in developing countries. It can be very useful where digital cadaster maps are not available or usage of Remote Sensing (RS) data is not utilized in the process of...

  • Article
  • Open Access
4 Citations
1,933 Views
19 Pages

Rare Taxa as Key Drivers of Soil Multi-Nutrient Cycling Under Different Crop Types

  • Qingmiao Yang,
  • Hanwen Liu,
  • Biao Tang,
  • Chunxiao Yu,
  • Shide Dong,
  • Yang Li,
  • Guangxu Cui,
  • Yi Zhang and
  • Guangmei Wang

Soil microorganisms are crucial for nutrient cycling, with abundant and rare taxa playing distinct roles. However, the mechanisms by which soil microbes influence nutrient cycling under different crop types remain unclear. In this study, we investiga...

  • Article
  • Open Access
855 Views
19 Pages

Soil microorganisms play a crucial role in maintaining soil functionality and ecological balance by participating in key processes such as organic matter decomposition, nutrient cycling, soil structure formation, and plant health support. High-throug...

  • Article
  • Open Access
31 Citations
5,744 Views
17 Pages

Crop Type Prediction: A Statistical and Machine Learning Approach

  • Bikram Pratim Bhuyan,
  • Ravi Tomar,
  • T. P. Singh and
  • Amar Ramdane Cherif

28 December 2022

Farmers’ ability to accurately anticipate crop type is critical to global food production and sustainable smart cities since timely decisions on imports and exports, based on precise forecasts, are crucial to the country’s food security....

  • Article
  • Open Access
54 Citations
7,301 Views
16 Pages

Evaluating the Effectiveness of Machine Learning and Deep Learning Models Combined Time-Series Satellite Data for Multiple Crop Types Classification over a Large-Scale Region

  • Xue Wang,
  • Jiahua Zhang,
  • Lan Xun,
  • Jingwen Wang,
  • Zhenjiang Wu,
  • Malak Henchiri,
  • Shichao Zhang,
  • Sha Zhang,
  • Yun Bai and
  • Xiang Yu
  • + 2 authors

12 May 2022

Accurate extraction of crop cultivated area and spatial distribution is essential for food security. Crop classification methods based on machine learning and deep learning and remotely sensed time-series data are widely utilized to detect crop plant...

  • Review
  • Open Access
13 Citations
2,803 Views
19 Pages

Use of Optical and Radar Imagery for Crop Type Classification in Africa: A Review

  • Maryam Choukri,
  • Ahmed Laamrani and
  • Abdelghani Chehbouni

3 June 2024

Multi-source remote sensing-derived information on crops contributes significantly to agricultural monitoring, assessment, and management. In Africa, some challenges (i.e., small-scale farming practices associated with diverse crop types and agricult...

  • Review
  • Open Access
15 Citations
5,370 Views
50 Pages

24 August 2022

Organic farming systems have become widespread in recent decades due to their popularity with consumers and their beneficial effects on the environment and biodiversity. Through the increasing number of available studies from farm surveys and compara...

  • Article
  • Open Access
29 Citations
8,012 Views
17 Pages

Evaluation of Crop Type Classification with Different High Resolution Satellite Data Sources

  • Jinlong Fan,
  • Xiaoyu Zhang,
  • Chunliang Zhao,
  • Zhihao Qin,
  • Mathilde De Vroey and
  • Pierre Defourny

28 February 2021

Crop type classification with satellite imageries is widely applied in support of crop production management and food security strategy. The abundant supply of these satellite data is accelerating and blooming the application of crop classification a...

  • Article
  • Open Access
11 Citations
3,682 Views
24 Pages

Large Variations in N2O Fluxes from Bioenergy Crops According to Management Practices and Crop Type

  • Fabien Ferchaud,
  • Céline Peyrard,
  • Joël Léonard,
  • Eric Gréhan and
  • Bruno Mary

26 June 2020

Field N2O emissions are a key point in the evaluation of the greenhouse gas benefits of bioenergy crops. The aim of this study was to investigate N2O fluxes from perennial (miscanthus and switchgrass), semi-perennial (fescue and alfalfa) and annual (...

  • Article
  • Open Access
257 Views
21 Pages

Intensive agriculture, ecosystem degradation, and declining soil quality highlight the urgent need for sustainable land use strategies. The cultivation of short-rotation woody crops (SRC), combined with fertilization using sewage sludge digestate (SS...

  • Article
  • Open Access
789 Views
33 Pages

Uncertainty Mixture of Experts Model for Long Tail Crop Type Mapping

  • Qiuye Lu,
  • Wenzhi Zhao,
  • Jiage Chen,
  • Xuehong Chen and
  • Liqiang Zhang

18 November 2025

Accurate global crop type mapping is essential to ensure food security. However, large-scale crop-type mapping still poses challenges to commonly used classification strategies. Specifically, variation within crop types downgrades classification perf...

  • Article
  • Open Access
34 Citations
4,902 Views
28 Pages

Exploring TanDEM-X Interferometric Products for Crop-Type Mapping

  • Mario Busquier,
  • Juan M. Lopez-Sanchez,
  • Alejandro Mestre-Quereda,
  • Elena Navarro,
  • María P. González-Dugo and
  • Luciano Mateos

1 June 2020

The application of satellite single-pass interferometric data to crop-type mapping is demonstrated for the first time in this work. A set of nine TanDEM-X dual-pol pairs of images acquired during its science phase, from June to August 2015, is exploi...

  • Article
  • Open Access
30 Citations
7,307 Views
21 Pages

Crop type information at the field level is vital for many types of research and applications. The United States Department of Agriculture (USDA) provides information on crop types for US cropland as a Cropland Data Layer (CDL). However, CDL is only...

  • Article
  • Open Access
27 Citations
6,338 Views
14 Pages

Evaluation of Orthomosics and Digital Surface Models Derived from Aerial Imagery for Crop Type Mapping

  • Mingquan Wu,
  • Chenghai Yang,
  • Xiaoyu Song,
  • Wesley Clint Hoffmann,
  • Wenjiang Huang,
  • Zheng Niu,
  • Changyao Wang and
  • Wang Li

4 March 2017

Orthomosics and digital surface models (DSM) derived from aerial imagery, acquired by consumer-grade cameras, have the potential for crop type mapping. In this study, a novel method was proposed for extracting the crop height from DSM and for evaluat...

  • Article
  • Open Access
21 Citations
6,067 Views
20 Pages

Prior Season Crop Type Masks for Winter Wheat Yield Forecasting: A US Case Study

  • Inbal Becker-Reshef,
  • Belen Franch,
  • Brian Barker,
  • Emilie Murphy,
  • Andres Santamaria-Artigas,
  • Michael Humber,
  • Sergii Skakun and
  • Eric Vermote

19 October 2018

Monitoring and forecasting crop yields is a critical component of understanding and better addressing global food security challenges. Detailed spatial information on crop-type distribution is fundamental for in-season crop condition monitoring and y...

  • Article
  • Open Access
15 Citations
3,311 Views
22 Pages

13 March 2024

Northeast China (NEC) is one of the most important national agricultural production bases, and its agricultural water dynamics are essential for food security and sustainable agricultural development. However, the dynamics of long-term annual crop-sp...

  • Article
  • Open Access
230 Views
30 Pages

A Two-Tier Zoning Framework for Cropland and Crop-Type Classification in China

  • Xuechang Zheng,
  • Yixin Chen,
  • Yaozhong Pan,
  • Xiufang Zhu and
  • Le Li

7 March 2026

Large-scale agricultural remote sensing monitoring is challenged by pronounced spatial heterogeneity arising from fragmented terrain, complex climatic backgrounds, and diverse cropping structures. However, existing agricultural zoning schemes general...

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