Correlation Between the Growth Index and Vegetation Indices for Irrigated Soybeans Using Free Orbital Images DOI Creative Commons
Gildriano Soares de Oliveira, Jackson Paulo Silva Souza,

Érica Pereira Cardozo

et al.

AgriEngineering, Journal Year: 2025, Volume and Issue: 7(3), P. 67 - 67

Published: March 5, 2025

Soybeans are key in generating foreign currency for the world economy. Geotechnologies, through vegetation indices (VIs) generated by orbital images or remotely piloted aircraft, essential tools assessing impact of climate on productivity and ecoclimatic suitability crops. This study aimed to correlate growth from CLIMEX model, previously validated, with VIs derived remote sensing ecological niche modeling soybean cultivation six irrigated pivots located northwest Minas Gerais, Brazil. The maximum normalized difference index (NDVImax) soil-adjusted (SAVImax) were extracted Landsat-8 OLI/TIRS sensor 2016 2019 harvests during R1 R3 phenological stages. NDVI values varied across regions crops, ranging 0.27 0.95. Similarly, SAVI exhibited variability, 0.13 0.85. (GIw), ranged 0.88 1. statistical analysis confirmed a significant correlation (p < 0.05) between NDVImax GIw only 2018/19 harvest, Pearson coefficient r = 0.86, classified as very strong. Across all harvests, consistently outperformed strength GIw. Using geotechnologies shows promise correlating spectral models. However, when using valid crops did not correlate. Still, our has potential be improved investigating new hypotheses, such drone better resolution (spatial, spectral, temporal, radiometric) adjusting response stage. Our results model have monitoring analyzing performance varieties but require more in-depth view adapt methodology.

Language: Английский

Correlation Between the Growth Index and Vegetation Indices for Irrigated Soybeans Using Free Orbital Images DOI Creative Commons
Gildriano Soares de Oliveira, Jackson Paulo Silva Souza,

Érica Pereira Cardozo

et al.

AgriEngineering, Journal Year: 2025, Volume and Issue: 7(3), P. 67 - 67

Published: March 5, 2025

Soybeans are key in generating foreign currency for the world economy. Geotechnologies, through vegetation indices (VIs) generated by orbital images or remotely piloted aircraft, essential tools assessing impact of climate on productivity and ecoclimatic suitability crops. This study aimed to correlate growth from CLIMEX model, previously validated, with VIs derived remote sensing ecological niche modeling soybean cultivation six irrigated pivots located northwest Minas Gerais, Brazil. The maximum normalized difference index (NDVImax) soil-adjusted (SAVImax) were extracted Landsat-8 OLI/TIRS sensor 2016 2019 harvests during R1 R3 phenological stages. NDVI values varied across regions crops, ranging 0.27 0.95. Similarly, SAVI exhibited variability, 0.13 0.85. (GIw), ranged 0.88 1. statistical analysis confirmed a significant correlation (p < 0.05) between NDVImax GIw only 2018/19 harvest, Pearson coefficient r = 0.86, classified as very strong. Across all harvests, consistently outperformed strength GIw. Using geotechnologies shows promise correlating spectral models. However, when using valid crops did not correlate. Still, our has potential be improved investigating new hypotheses, such drone better resolution (spatial, spectral, temporal, radiometric) adjusting response stage. Our results model have monitoring analyzing performance varieties but require more in-depth view adapt methodology.

Language: Английский

Citations

0