Работы, цитирующие эту работу

Работ: 5

Работа: Derivation of Leaf‐Area Index from Quality of Light on the Forest Floor

1. Characterization of soil salinity and its impact on wheat crop using space-borne hyperspectral data

   Mirzoolim Avliyakulov, Mamta Kumari, Nurmamat Rajabov +1

   СтатьяSoil Geostatistics and MappingInterCarto InterGIS2020Цитирований: 9

   ABIABI:AkademIndex/openalex/2026.other.386690

2. Modeling the Leaf Area Index of Inner Mongolia Grassland Based on Machine Learning Regression Algorithms Incorporating Empirical Knowledge

   Beibei Shen, Lei Ding, Leichao Ma +9

   СтатьяRemote Sensing in AgricultureRemote Sensing2022Цитирований: 1

   ABIABI:AkademIndex/openalex/2022.article.000277

3. Comparison of spectro-biophysical and yield parameters of cotton in irrigated lowlands of Amudaria River

   Shavkat Kenjabaev, Christopher Conrad, Odilbek Eshchanov +3

   СтатьяRemote Sensing in AgricultureInterCarto InterGIS2020Цитирований: 0

   ABIABI:AkademIndex/openalex/2020.article.005059

4. ARCHAEOLOGICAL PROSPECTION WITH CORONA AND WV-3 SATELLITE IMAGERY OF THE ARCHAEOLOGICAL SITE OF ZAR TEPE (UZBEKISTAN)

   Cristian Iranzo, Paula Uribe Agudo, Jorge Angás Pajas +4

   СтатьяGlobal Maritime and Colonial Histories˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2023Цитирований: 0

   ABIABI:AkademIndex/openalex/2023.article.008698

5. Evaluation of cotton planting suitability in Xinjiang based on climate change and soil fertility factors simulated by coupled machine learning model

   Yonglin Jia, Yi Li, Asim Biswas +10

   СтатьяRemote Sensing in AgricultureResources Environment and Sustainability2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001534