A review of accuracy assessment for object-based image analysis: From per-pixel to per-polygon approaches

S Ye, RG Pontius Jr, R Rakshit - ISPRS Journal of Photogrammetry and …, 2018 - Elsevier
Object-based image analysis (OBIA) has gained widespread popularity for creating maps
from remotely sensed data. Researchers routinely claim that OBIA procedures outperform …

Hyperspectral imaging and 3D technologies for plant phenoty**: From satellite to close-range sensing

H Liu, B Bruning, T Garnett, B Berger - Computers and Electronics in …, 2020 - Elsevier
High-throughput phenoty** technologies in controlled environments or field conditions
have proven to be extremely useful in unravelling key quantitative traits of plants for …

Self-attention for raw optical satellite time series classification

M Rußwurm, M Körner - ISPRS journal of photogrammetry and remote …, 2020 - Elsevier
The amount of available Earth observation data has increased dramatically in recent years.
Efficiently making use of the entire body of information is a current challenge in remote …

[HTML][HTML] Land use/land cover change and their driving factors in the Yellow River Basin of Shandong Province based on google earth Engine from 2000 to 2020

J Cui, M Zhu, Y Liang, G Qin, J Li, Y Liu - ISPRS International Journal of …, 2022 - mdpi.com
As the convenient outlet to the Bo Sea and the major region of economic development in the
Yellow River Basin, Shandong Province in China has undergone large changes in land …

Map** paddy rice with satellite remote sensing: A review

R Zhao, Y Li, M Ma - Sustainability, 2021 - mdpi.com
Paddy rice is a staple food of three billion people in the world. Timely and accurate
estimation of the paddy rice planting area and paddy rice yield can provide valuable …

Map** paddy rice using a convolutional neural network (CNN) with Landsat 8 datasets in the Dongting Lake Area, China

M Zhang, H Lin, G Wang, H Sun, J Fu - Remote Sensing, 2018 - mdpi.com
Rice is one of the world's major staple foods, especially in China. Highly accurate monitoring
on rice-producing land is, therefore, crucial for assessing food supplies and productivity …

Unmanned aerial vehicle applications in agriculture

CYN Norasma, MA Fadzilah, NA Roslin… - IOP Conference …, 2019 - iopscience.iop.org
Agriculture becomes extremely important as a main source of food production to feed the
population in this planet. On the other hand, agriculture provides a lot of benefits to the …

Land use/land cover classification using time series Landsat 8 images in a heavily urbanized area

Z Deng, X Zhu, Q He, L Tang - Advances in Space Research, 2019 - Elsevier
It is of great significance to timely, accurately, and effectively monitor land use/cover in city
regions for the reasonable development and utilization of urban land resources. The …

Improving prediction of soil organic carbon content in croplands using phenological parameters extracted from NDVI time series data

L Yang, X He, F Shen, C Zhou, AX Zhu, B Gao… - Soil and Tillage …, 2020 - Elsevier
Map** the spatial distribution of soil organic carbon (SOC) content or stock is important for
climate change studies and land management decisions. When using environmental …

Evolution and application of digital technologies to predict crop type and crop phenology in agriculture

AB Potgieter, Y Zhao, PJ Zarco-Tejada, K Chenu… - in silico …, 2021 - academic.oup.com
The downside risk of crop production affects the entire supply chain of the agricultural
industry nationally and globally. This also has a profound impact on food security, and thus …