A review of the issues, methods and perspectives for yield estimation, prediction and forecasting in viticulture

C Laurent, B Oger, JA Taylor, T Scholasch… - European Journal of …, 2021 - Elsevier
Grapevine yield is defined as the quantity of harvest, expressed as either grape mass or
wine volumeunits, which has been collected per surface unit are and per crop cycle. The …

Land‐use change: incorporating the frequency, sequence, time span, and magnitude of changes into ecological research

SJ Watson, GW Luck, PG Spooner… - Frontiers in Ecology …, 2014 - Wiley Online Library
The frequency and extent of human‐induced land‐cover changes is escalating worldwide.
Recurrent turnover of land‐cover types will affect ecosystems over and above major, one …

Efficient corn and soybean mapping with temporal extendability: A multi-year experiment using Landsat imagery

L Zhong, P Gong, GS Biging - Remote Sensing of Environment, 2014 - Elsevier
An innovative phenology-based classification method was developed to map corn and
soybean in multiple years using training data limited to a single year. Unlike traditional …

Global cropland intensification surpassed expansion between 2000 and 2010: A spatio-temporal analysis based on GlobeLand30

Q Hu, M Xiang, D Chen, J Zhou, W Wu… - Science of the Total …, 2020 - Elsevier
Cropland expansion and intensification are the two main strategies for increasing food
production. Here, we investigated the spatio-temporal patterns of global cropland expansion …

Per-field irrigated crop classification in arid Central Asia using SPOT and ASTER data

C Conrad, S Fritsch, J Zeidler, G Rücker, S Dech - Remote Sensing, 2010 - mdpi.com
The overarching goal of this research was to explore accurate methods of mapping irrigated
crops, where digital cadastre information is unavailable:(a) Boundary separation by object …

A robust spectral-spatial approach to identifying heterogeneous crops using remote sensing imagery with high spectral and spatial resolutions

J Zhao, Y Zhong, X Hu, L Wei, L Zhang - Remote Sensing of Environment, 2020 - Elsevier
Heterogeneous crop identification has been the subject of much concern, since smallholder
farms less than 1 ha are the main agricultural form in many areas, especially China. Remote …

Mapping cropping intensity of smallholder farms: A comparison of methods using multiple sensors

M Jain, P Mondal, RS DeFries, C Small… - Remote Sensing of …, 2013 - Elsevier
The food security of smallholder farmers is vulnerable to climate change and climate
variability. Cropping intensity, the number of crops planted annually, can be used as a …

Mapping abandoned agricultural land in Kyzyl-Orda, Kazakhstan using satellite remote sensing

F Löw, E Fliemann, I Abdullaev, C Conrad… - Applied …, 2015 - Elsevier
In many regions worldwide, cropland abandonment is growing, which has strong and known
environmental and socio-economic consequences. Yet, spatially explicit information on the …

Derivation of temporal windows for accurate crop discrimination in heterogeneous croplands of Uzbekistan using multitemporal RapidEye images

C Conrad, S Dech, O Dubovyk, S Fritsch, D Klein… - … and Electronics in …, 2014 - Elsevier
Recently launched and upcoming satellite systems are expected to make crop mapping
increasingly accurate and operational. This study aims at an evaluation of the optimum …

A phenology-based approach to map crop types in the San Joaquin Valley, California

L Zhong, T Hawkins, G Biging… - International Journal of …, 2011 - Taylor & Francis
An accurate and timely crop-type map is essential in water planning in California. So far, no
effort has been made to effectively and efficiently identify specific crop types on an annual …