TY - JOUR
T1 - Mapping dominant tree species of miombo woodlands in Western Tanzania using PlanetScope imagery
AU - Nkya, Siwa E.
AU - Shirima, Deo D.
AU - Masolele, Robert N.
AU - Hedenas, Henrik
AU - Temu, August B.
PY - 2024
Y1 - 2024
N2 - Mapping dominant tree species in miombo woodlands is essential for enhancing their monitoring and management. We evaluated PlanetScope imagery to map Julbernardia globiflora, Brachystegia spiciformis, and Pterocarpus tinctorius in Tongwe Forest Reserve, Tanzania. The study assessed the effectiveness of PlanetScope bands in discriminating tree species and investigated how different months/seasons influenced tree species classification. Optimal months (seasons) and spectral bands were selected using Principal Component loading, temporal pattern analysis, mean decrease in accuracy, and mean decrease Gini techniques. Random forest classification was employed for tree species classification, and accuracy was assessed using an error matrix. The study identified March, July, and September as optimal months for acquiring imagery, with effective bands including blue, green-1, green, yellow, red, and red-edge. July and September imagery in the dry season achieved higher overall accuracies of 65% and 69%, respectively, while March imagery in the wet season reached 55%. The highest overall accuracy of 72% was achieved using images from different seasons. Producer's accuracy was highest for Brachystegia spiciformis (79%) and Julbernardia globiflora (95%), whereas Pterocarpus tinctorius had lower accuracy (25%). User's accuracy varied with 74% for Brachystegia spiciformis, 70% for Julbernardia globiflora, and 67% for Pterocarpus tinctorius. Mapping accuracy was notably high for Brachystegia spiciformis and Julbernardia globiflora, reflecting their high sample size (dominance) and distinct phenology. The yellow and red bands were particularly effective in distinguishing miombo tree species demonstrating PlanetScope's capability. Future research should focus on scaling up PlanetScope's application for broad miombo tree species mapping.Multi-season imagery enhances the accuracy of mapping dominant miombo tree species.Yellow and red spectral bands are the most effective in discriminating miombo tree species.PlanetScope reliably maps populations of the dominant species Brachystegia spiciformis and Julbernardia globiflora.
AB - Mapping dominant tree species in miombo woodlands is essential for enhancing their monitoring and management. We evaluated PlanetScope imagery to map Julbernardia globiflora, Brachystegia spiciformis, and Pterocarpus tinctorius in Tongwe Forest Reserve, Tanzania. The study assessed the effectiveness of PlanetScope bands in discriminating tree species and investigated how different months/seasons influenced tree species classification. Optimal months (seasons) and spectral bands were selected using Principal Component loading, temporal pattern analysis, mean decrease in accuracy, and mean decrease Gini techniques. Random forest classification was employed for tree species classification, and accuracy was assessed using an error matrix. The study identified March, July, and September as optimal months for acquiring imagery, with effective bands including blue, green-1, green, yellow, red, and red-edge. July and September imagery in the dry season achieved higher overall accuracies of 65% and 69%, respectively, while March imagery in the wet season reached 55%. The highest overall accuracy of 72% was achieved using images from different seasons. Producer's accuracy was highest for Brachystegia spiciformis (79%) and Julbernardia globiflora (95%), whereas Pterocarpus tinctorius had lower accuracy (25%). User's accuracy varied with 74% for Brachystegia spiciformis, 70% for Julbernardia globiflora, and 67% for Pterocarpus tinctorius. Mapping accuracy was notably high for Brachystegia spiciformis and Julbernardia globiflora, reflecting their high sample size (dominance) and distinct phenology. The yellow and red bands were particularly effective in distinguishing miombo tree species demonstrating PlanetScope's capability. Future research should focus on scaling up PlanetScope's application for broad miombo tree species mapping.Multi-season imagery enhances the accuracy of mapping dominant miombo tree species.Yellow and red spectral bands are the most effective in discriminating miombo tree species.PlanetScope reliably maps populations of the dominant species Brachystegia spiciformis and Julbernardia globiflora.
KW - Unmanned aerial vehicle (UAV)
KW - Temporal pattern analysis
KW - Principal component analysis (PCA)
KW - Mixed forests
KW - Variable importance
KW - Random forest
KW - Unmanned aerial vehicle (UAV)
KW - Temporal pattern analysis
KW - Principal component analysis (PCA)
KW - Mixed forests
KW - Variable importance
KW - Random forest
UR - https://res.slu.se/id/publ/132901
U2 - 10.1007/s42452-024-06248-8
DO - 10.1007/s42452-024-06248-8
M3 - Journal article
SN - 3004-9261
VL - 6
JO - Discover Applied Sciences
JF - Discover Applied Sciences
IS - 10
M1 - 528
ER -