diff --git a/environment.yml b/environment.yml
index 1290e0dd2e2..de47c5cc647 100644
--- a/environment.yml
+++ b/environment.yml
@@ -24,7 +24,7 @@ dependencies:
     - hydra-core>=1
     - ipywidgets>=7
     - isort[colors]>=5.8
-    - kornia>=0.6.5
+    - kornia>=0.6.9
     - laspy>=2
     - lightly>=1.4.4
     - lightning>=1.8
diff --git a/requirements/min-reqs.old b/requirements/min-reqs.old
index d74ce8e414e..84375103261 100644
--- a/requirements/min-reqs.old
+++ b/requirements/min-reqs.old
@@ -4,7 +4,7 @@ setuptools==42.0.0
 # install
 einops==0.3.0
 fiona==1.8.19
-kornia==0.6.5
+kornia==0.6.9
 lightly==1.4.4
 lightning==1.8.0
 matplotlib==3.3.3
diff --git a/setup.cfg b/setup.cfg
index 4e93bcd906d..c6bd83251b0 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -28,8 +28,8 @@ install_requires =
     # fiona 1.8.19+ required to fix erroneous warning
     # https://github.com/Toblerity/Fiona/issues/986
     fiona>=1.8.19,<2
-    # kornia 0.6.5+ required due to change in kornia.augmentation API
-    kornia>=0.6.5,<0.7
+    # kornia 0.6.9+ required for kornia.augmentation.RandomBrightness
+    kornia>=0.6.9,<0.7
     # lightly 1.4.4+ required for MoCo v3 support
     lightly>=1.4.4
     # lightning 1.8+ is first release
diff --git a/torchgeo/trainers/moco.py b/torchgeo/trainers/moco.py
index 09431a0b11c..2e1c9b52c5a 100644
--- a/torchgeo/trainers/moco.py
+++ b/torchgeo/trainers/moco.py
@@ -62,6 +62,8 @@ def moco_augmentations(
             T.RandomGrayscale(weights=weights, p=0.2),
             # Not appropriate for multispectral imagery, seasonal contrast used instead
             # K.ColorJitter(brightness=0.4, contrast=0.4, saturation=0.4, hue=0.4, p=1)
+            K.RandomBrightness(brightness=(0.6, 1.4), p=1.0),
+            K.RandomContrast(contrast=(0.6, 1.4), p=1.0),
             K.RandomHorizontalFlip(),
             K.RandomVerticalFlip(),  # added
             data_keys=["input"],
@@ -74,6 +76,8 @@ def moco_augmentations(
             # K.ColorJitter(
             #     brightness=0.4, contrast=0.4, saturation=0.4, hue=0.1, p=0.8
             # )
+            K.RandomBrightness(brightness=(0.6, 1.4), p=0.8),
+            K.RandomContrast(contrast=(0.6, 1.4), p=0.8),
             T.RandomGrayscale(weights=weights, p=0.2),
             K.RandomGaussianBlur(kernel_size=(ks, ks), sigma=(0.1, 2), p=0.5),
             K.RandomHorizontalFlip(),
@@ -88,6 +92,8 @@ def moco_augmentations(
             # K.ColorJitter(
             #     brightness=0.4, contrast=0.4, saturation=0.2, hue=0.1, p=0.8
             # )
+            K.RandomBrightness(brightness=(0.6, 1.4), p=0.8),
+            K.RandomContrast(contrast=(0.6, 1.4), p=0.8),
             T.RandomGrayscale(weights=weights, p=0.2),
             K.RandomGaussianBlur(kernel_size=(ks, ks), sigma=(0.1, 2), p=1),
             K.RandomHorizontalFlip(),
@@ -100,6 +106,8 @@ def moco_augmentations(
             # K.ColorJitter(
             #     brightness=0.4, contrast=0.4, saturation=0.2, hue=0.1, p=0.8
             # )
+            K.RandomBrightness(brightness=(0.6, 1.4), p=0.8),
+            K.RandomContrast(contrast=(0.6, 1.4), p=0.8),
             T.RandomGrayscale(weights=weights, p=0.2),
             K.RandomGaussianBlur(kernel_size=(ks, ks), sigma=(0.1, 2), p=0.1),
             K.RandomSolarize(p=0.2),
diff --git a/torchgeo/trainers/simclr.py b/torchgeo/trainers/simclr.py
index 2d29944fd46..b09b0e591cf 100644
--- a/torchgeo/trainers/simclr.py
+++ b/torchgeo/trainers/simclr.py
@@ -49,6 +49,8 @@ def simclr_augmentations(size: int, weights: Tensor) -> nn.Module:
         K.RandomVerticalFlip(),  # added
         # Not appropriate for multispectral imagery, seasonal contrast used instead
         # K.ColorJitter(brightness=0.8, contrast=0.8, saturation=0.8, hue=0.2, p=0.8)
+        K.RandomBrightness(brightness=(0.2, 1.8), p=0.8),
+        K.RandomContrast(contrast=(0.2, 1.8), p=0.8),
         T.RandomGrayscale(weights=weights, p=0.2),
         K.RandomGaussianBlur(kernel_size=(ks, ks), sigma=(0.1, 2)),
         data_keys=["input"],
diff --git a/torchgeo/transforms/color.py b/torchgeo/transforms/color.py
index 199b1279c72..5459fc2f854 100644
--- a/torchgeo/transforms/color.py
+++ b/torchgeo/transforms/color.py
@@ -70,7 +70,7 @@ def apply_transform(
         Returns:
             The augmented input.
         """
-        weights = flags["weights"][..., :, None, None]
+        weights = flags["weights"][..., :, None, None].to(input.device)
         out = input * weights
         out = out.sum(dim=-3)
         out = out.unsqueeze(-3).expand(input.shape)