Prediction of urban forest aboveground carbon using machine learning based on landsat 8 and Sentinel-2: a case study of Shanghai, China

H Li, G Zhang, Q Zhong, L Xing, H Du - Remote Sensing, 2023 - mdpi.com
The aboveground carbon storage (AGC) of urban forests is an important indicator reflecting
the ecological function of urban forests. It is essential to monitor the AGC of urban forests …

A high-precision crop classification method based on time-series UAV images

Q Xu, M Jin, P Guo - Agriculture, 2022 - mdpi.com
Timely and accurate information on crop planting structures is crucial for ensuring national
food security and formulating economic policies. This study presents a method for high …

Mapping crop yield spatial variability using Sentinel-2 vegetation indices in Ethiopia

GA Tiruneh, DT Meshesha, E Adgo… - Arabian Journal of …, 2023 - Springer
Crop yield prediction before harvest is a key issue in managing agricultural policies and
making the best decisions for the future. Using remote sensing techniques in yield …

Semantic segmentation of very-high spatial resolution satellite images: A comparative analysis of 3D-CNN and traditional machine learning algorithms for automatic …

Ö Akar, E Saralıoğlu, O Güngör… - International Journal of …, 2024 - dergipark.org.tr
The Erzincan (Cimin) grape, which is an endemic product, plays a significant role in the
economy of both the region it is cultivated in and the overall country. Therefore, it is crucial to …

Predictive modeling of crop yields: A comparative analysis of regression techniques for agricultural yield prediction

PP Jorvekar, SK Wagh, JR Prasad - … Engineering International: CIGR …, 2024 - cigrjournal.org
Crop yield prediction plays a key role in modern agriculture, it enables farmers to make
decisions about resource distribution, crop production management, and marketing …

Monitoring the dynamic changes in vegetation cover and driving factors from 2000 to 2020 in the Maoershan Forest Farm region, China, using satellite remote sensing …

LI Teng, GAO Yuanke - Forest Systems, 2023 - torrossa.com
Aim of study: Natural climate change is a central driver of global ecosystem and forest
change. Climate change and topographical factors have had the greatest impact on different …

Kentsel alanlarda ağaç yükseklik bilgilerinin ICESat-2/ATLAS ve İHA verilerinden elde edilmesi

M Ağca, E Kaya, Aİ Daloğlu, A Yücel, S Yalçınkaya - Geomatik, 2024 - dergipark.org.tr
Günümüzde nüfusun artması ile birlikte kentsel alanlar hızlı bir şekilde büyümektedir.
Kentsel alanlardaki ağaçların belirlenmesi ve yükseklik bilgilerinin elde edilmesi karbon …

Tillage practices influence winter wheat grain yield prediction using seasonal precipitation

L Aula, AC Easterly, CF Creech - Frontiers in Agronomy, 2023 - frontiersin.org
Making the best use of limited precipitation in semi-arid dryland cropping systems is
important for crop production. Tillage practices may influence how this precipitation is …

Asociación de índices de vegetación RGB con rendimiento y dosis de nitrógeno en trigo harinero

A Mandujano-Bueno… - …, 2025 - revistaciencia.uat.edu.mx
El trigo (Triticum aestivum) es un cultivo industrial de primera importancia para México,
autosuficiente en la producción de trigo cristalino, pero con déficit de 5 200 000 T anuales …

Estimating grain corn yield based on Landsat 8 satellite images (Case study: agricultural and industrial lands of Shahid Beheshti, Dezful)

A Liaghat, T Dehghani, H Rezaei Rad… - Iranian Journal of …, 2024 - idj.iaid.ir
One of the common methods to estimate the yield of crops before their harvest is the use of
satellite images and remote sensing technology. One of the efficient methods extracted from …